Overview

Dataset statistics

Number of variables51
Number of observations38113
Missing cells359349
Missing cells (%)18.5%
Duplicate rows2
Duplicate rows (%)< 0.1%
Total size in memory14.8 MiB
Average record size in memory408.0 B

Variable types

Numeric12
Categorical35
Unsupported4

Warnings

AMOUNTTYPE has constant value "D" Constant
FLOWTYPE has constant value "115" Constant
YEAR has constant value "2017" Constant
Region has constant value "South of Sahara" Constant
Category Code has constant value "10" Constant
Category Name has constant value "ODA" Constant
Amount Type has constant value "Constant Prices (2017 USD millions)" Constant
Dataset has 2 (< 0.1%) duplicate rows Duplicates
Donor Name has a high cardinality: 61 distinct values High cardinality
Donor Agency has a high cardinality: 212 distinct values High cardinality
OECD ID has a high cardinality: 27147 distinct values High cardinality
Donor Project ID has a high cardinality: 19217 distinct values High cardinality
Recipient Name has a high cardinality: 51 distinct values High cardinality
Channel of Delivery Name has a high cardinality: 144 distinct values High cardinality
Short Description has a high cardinality: 16224 distinct values High cardinality
Project title has a high cardinality: 16347 distinct values High cardinality
Purpose Name has a high cardinality: 186 distinct values High cardinality
Long Description has a high cardinality: 14502 distinct values High cardinality
SECTOR is highly correlated with Purpose CodeHigh correlation
CHANNEL is highly correlated with Channel of Delivery CodeHigh correlation
Channel of Delivery Code is highly correlated with CHANNELHigh correlation
Purpose Code is highly correlated with SECTORHigh correlation
Amount is highly correlated with Amount Untied USD million and 1 other fieldsHigh correlation
Amount Untied USD million is highly correlated with Amount and 1 other fieldsHigh correlation
Value is highly correlated with Amount and 1 other fieldsHigh correlation
FinanceType Name is highly correlated with FLOWTYPE and 7 other fieldsHigh correlation
FLOWTYPE is highly correlated with FinanceType Name and 25 other fieldsHigh correlation
Recipient Name is highly correlated with FLOWTYPE and 7 other fieldsHigh correlation
BiMulti Code is highly correlated with FLOWTYPE and 6 other fieldsHigh correlation
Type of Aid Code is highly correlated with FLOWTYPE and 8 other fieldsHigh correlation
FLOW is highly correlated with FinanceType Name and 7 other fieldsHigh correlation
Sector is highly correlated with FLOWTYPE and 6 other fieldsHigh correlation
Climate Adaptation is highly correlated with FLOWTYPE and 6 other fieldsHigh correlation
RMNCH is highly correlated with FLOWTYPE and 6 other fieldsHigh correlation
Category Name is highly correlated with FinanceType Name and 25 other fieldsHigh correlation
Income Group is highly correlated with FLOWTYPE and 7 other fieldsHigh correlation
Climate Mitigation is highly correlated with FLOWTYPE and 6 other fieldsHigh correlation
Gender equality is highly correlated with FLOWTYPE and 6 other fieldsHigh correlation
Amount Type is highly correlated with FinanceType Name and 25 other fieldsHigh correlation
AIDTYPE is highly correlated with FLOWTYPE and 8 other fieldsHigh correlation
Trade Development is highly correlated with FLOWTYPE and 6 other fieldsHigh correlation
Type of Aid Name is highly correlated with FLOWTYPE and 8 other fieldsHigh correlation
Biodiversity is highly correlated with FLOWTYPE and 6 other fieldsHigh correlation
Category Code is highly correlated with FinanceType Name and 25 other fieldsHigh correlation
Environment is highly correlated with FLOWTYPE and 6 other fieldsHigh correlation
PDGG is highly correlated with FLOWTYPE and 6 other fieldsHigh correlation
YEAR is highly correlated with FinanceType Name and 25 other fieldsHigh correlation
AMOUNTTYPE is highly correlated with FinanceType Name and 25 other fieldsHigh correlation
Donor Name is highly correlated with FLOWTYPE and 6 other fieldsHigh correlation
Desertification is highly correlated with FLOWTYPE and 6 other fieldsHigh correlation
Region is highly correlated with FinanceType Name and 25 other fieldsHigh correlation
Nature of Submission is highly correlated with FLOWTYPE and 6 other fieldsHigh correlation
Donor Project ID has 7669 (20.1%) missing values Missing
Channel of Delivery Name has 4629 (12.1%) missing values Missing
Project title has 654 (1.7%) missing values Missing
Long Description has 4534 (11.9%) missing values Missing
SDG Focus has 38113 (100.0%) missing values Missing
Gender equality has 7651 (20.1%) missing values Missing
Environment has 12288 (32.2%) missing values Missing
PDGG has 12378 (32.5%) missing values Missing
Trade Development has 17339 (45.5%) missing values Missing
RMNCH has 14440 (37.9%) missing values Missing
DRR has 38113 (100.0%) missing values Missing
Nutrition has 38113 (100.0%) missing values Missing
Disability has 38113 (100.0%) missing values Missing
Biodiversity has 12865 (33.8%) missing values Missing
Climate Mitigation has 11323 (29.7%) missing values Missing
Climate Adaptation has 11155 (29.3%) missing values Missing
Desertification has 20731 (54.4%) missing values Missing
Amount Tied USD million has 23830 (62.5%) missing values Missing
Amount Untied USD million has 14848 (39.0%) missing values Missing
Amount Partially Untied USD million has 30563 (80.2%) missing values Missing
Amount is highly skewed (γ1 = 22.36050163) Skewed
Amount Tied USD million is highly skewed (γ1 = 25.85018859) Skewed
Amount Untied USD million is highly skewed (γ1 = 22.3526214) Skewed
Amount Partially Untied USD million is highly skewed (γ1 = 57.0537557) Skewed
Value is highly skewed (γ1 = 22.36050158) Skewed
SDG Focus is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRR is an unsupported type, check if it needs cleaning or further analysis Unsupported
Nutrition is an unsupported type, check if it needs cleaning or further analysis Unsupported
Disability is an unsupported type, check if it needs cleaning or further analysis Unsupported
CHANNEL has 4629 (12.1%) zeros Zeros
Channel of Delivery Code has 4629 (12.1%) zeros Zeros
Amount Tied USD million has 8731 (22.9%) zeros Zeros
Amount Untied USD million has 2626 (6.9%) zeros Zeros
Amount Partially Untied USD million has 7523 (19.7%) zeros Zeros

Reproduction

Analysis started2021-03-26 20:48:52.793028
Analysis finished2021-03-26 20:49:46.624772
Duration53.83 seconds
Software versionpandas-profiling v2.10.1
Download configurationconfig.yaml

Variables

DONOR
Real number (ℝ≥0)

Distinct61
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean349.2780679
Minimum1
Maximum1313
Zeros0
Zeros (%)0.0%
Memory size297.9 KiB

Quantile statistics

Minimum1
5-th percentile4
Q19
median302
Q3701
95-th percentile963
Maximum1313
Range1312
Interquartile range (IQR)692

Descriptive statistics

Standard deviation366.6539848
Coefficient of variation (CV)1.049748091
Kurtosis-1.1991152
Mean349.2780679
Median Absolute Deviation (MAD)296
Skewness0.6076254388
Sum13312035
Variance134435.1446
MonotocityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3027773
20.4%
43664
 
9.6%
7013640
 
9.6%
9632680
 
7.0%
52121
 
5.6%
111762
 
4.6%
3011708
 
4.5%
121454
 
3.8%
211400
 
3.7%
61125
 
3.0%
Other values (51)10786
28.3%
ValueCountFrequency (%)
1303
 
0.8%
2652
 
1.7%
3177
 
0.5%
43664
9.6%
52121
5.6%
ValueCountFrequency (%)
13136
 
< 0.1%
131211
 
< 0.1%
1020249
0.7%
101621
 
0.1%
101236
 
0.1%

RECIPIENT
Real number (ℝ≥0)

Distinct51
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean257.6595912
Minimum218
Maximum289
Zeros0
Zeros (%)0.0%
Memory size297.9 KiB

Quantile statistics

Minimum218
5-th percentile228
Q1240
median256
Q3278
95-th percentile288
Maximum289
Range71
Interquartile range (IQR)38

Descriptive statistics

Standard deviation20.19944863
Coefficient of variation (CV)0.07839587316
Kurtosis-1.127469582
Mean257.6595912
Median Absolute Deviation (MAD)18
Skewness-0.01513744572
Sum9820180
Variance408.017725
MonotocityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2482019
 
5.3%
2381990
 
5.2%
2891839
 
4.8%
2821665
 
4.4%
2691516
 
4.0%
2851506
 
4.0%
2351486
 
3.9%
2591437
 
3.8%
2551347
 
3.5%
2611271
 
3.3%
Other values (41)22037
57.8%
ValueCountFrequency (%)
2181072
2.8%
225392
 
1.0%
227250
 
0.7%
228632
1.7%
229922
2.4%
ValueCountFrequency (%)
2891839
4.8%
288901
2.4%
2871201
3.2%
2851506
4.0%
283537
 
1.4%

SECTOR
Real number (ℝ≥0)

HIGH CORRELATION

Distinct186
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29217.93044
Minimum11110
Maximum99820
Zeros0
Zeros (%)0.0%
Memory size297.9 KiB

Quantile statistics

Minimum11110
5-th percentile11220
Q112262
median15220
Q341020
95-th percentile91010
Maximum99820
Range88710
Interquartile range (IQR)28758

Descriptive statistics

Standard deviation23669.90093
Coefficient of variation (CV)0.8101155891
Kurtosis1.068871334
Mean29217.93044
Median Absolute Deviation (MAD)4000
Skewness1.467369454
Sum1113582983
Variance560264210.2
MonotocityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
430101836
 
4.8%
114201623
 
4.3%
910101561
 
4.1%
130401495
 
3.9%
720101374
 
3.6%
11220941
 
2.5%
12220931
 
2.4%
31120923
 
2.4%
15150834
 
2.2%
31110819
 
2.1%
Other values (176)25776
67.6%
ValueCountFrequency (%)
11110480
1.3%
11120761
2.0%
11130297
 
0.8%
1118221
 
0.1%
11220941
2.5%
ValueCountFrequency (%)
9982072
 
0.2%
99810385
 
1.0%
9301083
 
0.2%
910101561
4.1%
74020346
 
0.9%

FLOW
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
11
37164 
13
 
931
19
 
18

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters76226
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row11
3rd row11
4th row13
5th row13
ValueCountFrequency (%)
1137164
97.5%
13931
 
2.4%
1918
 
< 0.1%
Histogram of lengths of the category
ValueCountFrequency (%)
1137164
97.5%
13931
 
2.4%
1918
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
175277
98.8%
3931
 
1.2%
918
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number76226
100.0%

Most frequent character per category

ValueCountFrequency (%)
175277
98.8%
3931
 
1.2%
918
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common76226
100.0%

Most frequent character per script

ValueCountFrequency (%)
175277
98.8%
3931
 
1.2%
918
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII76226
100.0%

Most frequent character per block

ValueCountFrequency (%)
175277
98.8%
3931
 
1.2%
918
 
< 0.1%

CHANNEL
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21508.4092
Minimum0
Maximum90000
Zeros4629
Zeros (%)12.1%
Memory size297.9 KiB

Quantile statistics

Minimum0
5-th percentile0
Q110000
median20000
Q320000
95-th percentile60000
Maximum90000
Range90000
Interquartile range (IQR)10000

Descriptive statistics

Standard deviation18506.62903
Coefficient of variation (CV)0.860436904
Kurtosis0.8641356239
Mean21508.4092
Median Absolute Deviation (MAD)10000
Skewness1.207601997
Sum819750000
Variance342495317.9
MonotocityNot monotonic
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1000013194
34.6%
2000011214
29.4%
04629
 
12.1%
400003311
 
8.7%
600003152
 
8.3%
500002183
 
5.7%
90000332
 
0.9%
3000098
 
0.3%
ValueCountFrequency (%)
04629
 
12.1%
1000013194
34.6%
2000011214
29.4%
3000098
 
0.3%
400003311
 
8.7%
ValueCountFrequency (%)
90000332
 
0.9%
600003152
8.3%
500002183
5.7%
400003311
8.7%
3000098
 
0.3%

AMOUNTTYPE
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
D
38113 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters38113
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowD
2nd rowD
3rd rowD
4th rowD
5th rowD
ValueCountFrequency (%)
D38113
100.0%
Histogram of lengths of the category
ValueCountFrequency (%)
d38113
100.0%

Most occurring characters

ValueCountFrequency (%)
D38113
100.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter38113
100.0%

Most frequent character per category

ValueCountFrequency (%)
D38113
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin38113
100.0%

Most frequent character per script

ValueCountFrequency (%)
D38113
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII38113
100.0%

Most frequent character per block

ValueCountFrequency (%)
D38113
100.0%

FLOWTYPE
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
115
38113 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters114339
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row115
2nd row115
3rd row115
4th row115
5th row115
ValueCountFrequency (%)
11538113
100.0%
Histogram of lengths of the category
ValueCountFrequency (%)
11538113
100.0%

Most occurring characters

ValueCountFrequency (%)
176226
66.7%
538113
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number114339
100.0%

Most frequent character per category

ValueCountFrequency (%)
176226
66.7%
538113
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common114339
100.0%

Most frequent character per script

ValueCountFrequency (%)
176226
66.7%
538113
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII114339
100.0%

Most frequent character per block

ValueCountFrequency (%)
176226
66.7%
538113
33.3%

AIDTYPE
Categorical

HIGH CORRELATION

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
C01
24021 
D02
3695 
B01
2791 
D01
 
2016
E01
 
1724
Other values (10)
3866 

Length

Max length3
Median length3
Mean length2.999947524
Min length1

Characters and Unicode

Total characters114337
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowC01
2nd rowC01
3rd rowC01
4th rowA01
5th rowA01
ValueCountFrequency (%)
C0124021
63.0%
D023695
 
9.7%
B012791
 
7.3%
D012016
 
5.3%
E011724
 
4.5%
G011557
 
4.1%
B031456
 
3.8%
E02244
 
0.6%
A02191
 
0.5%
B04145
 
0.4%
Other values (5)273
 
0.7%
Histogram of lengths of the category
ValueCountFrequency (%)
c0124021
63.0%
d023695
 
9.7%
b012791
 
7.3%
d012016
 
5.3%
e011724
 
4.5%
g011557
 
4.1%
b031456
 
3.8%
e02244
 
0.6%
a02191
 
0.5%
b04145
 
0.4%
Other values (5)273
 
0.7%

Most occurring characters

ValueCountFrequency (%)
038113
33.3%
132298
28.2%
C24021
21.0%
D5711
 
5.0%
B4392
 
3.8%
24213
 
3.7%
E1968
 
1.7%
G1557
 
1.4%
31456
 
1.3%
A256
 
0.2%
Other values (3)352
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number76225
66.7%
Uppercase Letter38112
33.3%

Most frequent character per category

ValueCountFrequency (%)
C24021
63.0%
D5711
 
15.0%
B4392
 
11.5%
E1968
 
5.2%
G1557
 
4.1%
A256
 
0.7%
H161
 
0.4%
F46
 
0.1%
ValueCountFrequency (%)
038113
50.0%
132298
42.4%
24213
 
5.5%
31456
 
1.9%
4145
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common76225
66.7%
Latin38112
33.3%

Most frequent character per script

ValueCountFrequency (%)
C24021
63.0%
D5711
 
15.0%
B4392
 
11.5%
E1968
 
5.2%
G1557
 
4.1%
A256
 
0.7%
H161
 
0.4%
F46
 
0.1%
ValueCountFrequency (%)
038113
50.0%
132298
42.4%
24213
 
5.5%
31456
 
1.9%
4145
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII114337
100.0%

Most frequent character per block

ValueCountFrequency (%)
038113
33.3%
132298
28.2%
C24021
21.0%
D5711
 
5.0%
B4392
 
3.8%
24213
 
3.7%
E1968
 
1.7%
G1557
 
1.4%
31456
 
1.3%
A256
 
0.2%
Other values (3)352
 
0.3%

YEAR
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
2017
38113 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters152452
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017
ValueCountFrequency (%)
201738113
100.0%
Histogram of lengths of the category
ValueCountFrequency (%)
201738113
100.0%

Most occurring characters

ValueCountFrequency (%)
238113
25.0%
038113
25.0%
138113
25.0%
738113
25.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number152452
100.0%

Most frequent character per category

ValueCountFrequency (%)
238113
25.0%
038113
25.0%
138113
25.0%
738113
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common152452
100.0%

Most frequent character per script

ValueCountFrequency (%)
238113
25.0%
038113
25.0%
138113
25.0%
738113
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII152452
100.0%

Most frequent character per block

ValueCountFrequency (%)
238113
25.0%
038113
25.0%
138113
25.0%
738113
25.0%

Donor Name
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct61
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
United States
7773 
France
3664 
Japan
3640 
UNICEF
2680 
Germany
2121 
Other values (56)
18235 

Length

Max length39
Median length7
Mean length9.769160129
Min length4

Characters and Unicode

Total characters372332
Distinct characters50
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUNDP
2nd rowUNDP
3rd rowUNDP
4th rowIMF (Concessional Trust Funds)
5th rowIMF (Concessional Trust Funds)
ValueCountFrequency (%)
United States7773
20.4%
France3664
 
9.6%
Japan3640
 
9.6%
UNICEF2680
 
7.0%
Germany2121
 
5.6%
Switzerland1762
 
4.6%
Canada1708
 
4.5%
United Kingdom1454
 
3.8%
Ireland1400
 
3.7%
Italy1125
 
3.0%
Other values (51)10786
28.3%
Histogram of lengths of the category
ValueCountFrequency (%)
united9231
17.2%
states7773
14.5%
france3664
 
6.8%
japan3640
 
6.8%
unicef2680
 
5.0%
germany2121
 
4.0%
switzerland1762
 
3.3%
canada1708
 
3.2%
kingdom1454
 
2.7%
ireland1400
 
2.6%
Other values (72)18148
33.9%

Most occurring characters

ValueCountFrequency (%)
a43031
 
11.6%
n37039
 
9.9%
t36207
 
9.7%
e36141
 
9.7%
i21360
 
5.7%
d18197
 
4.9%
r17261
 
4.6%
15468
 
4.2%
U13444
 
3.6%
s12350
 
3.3%
Other values (40)121834
32.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter284800
76.5%
Uppercase Letter72008
 
19.3%
Space Separator15468
 
4.2%
Open Punctuation28
 
< 0.1%
Close Punctuation28
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
a43031
15.1%
n37039
13.0%
t36207
12.7%
e36141
12.7%
i21360
7.5%
d18197
6.4%
r17261
6.1%
s12350
 
4.3%
l11407
 
4.0%
o10926
 
3.8%
Other values (15)40881
14.4%
ValueCountFrequency (%)
U13444
18.7%
S11116
15.4%
F7535
10.5%
I6925
9.6%
N5287
 
7.3%
C4837
 
6.7%
J3640
 
5.1%
E3445
 
4.8%
G2420
 
3.4%
D2401
 
3.3%
Other values (12)10958
15.2%
ValueCountFrequency (%)
15468
100.0%
ValueCountFrequency (%)
(28
100.0%
ValueCountFrequency (%)
)28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin356808
95.8%
Common15524
 
4.2%

Most frequent character per script

ValueCountFrequency (%)
a43031
 
12.1%
n37039
 
10.4%
t36207
 
10.1%
e36141
 
10.1%
i21360
 
6.0%
d18197
 
5.1%
r17261
 
4.8%
U13444
 
3.8%
s12350
 
3.5%
l11407
 
3.2%
Other values (37)110371
30.9%
ValueCountFrequency (%)
15468
99.6%
(28
 
0.2%
)28
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII372332
100.0%

Most frequent character per block

ValueCountFrequency (%)
a43031
 
11.6%
n37039
 
9.9%
t36207
 
9.7%
e36141
 
9.7%
i21360
 
5.7%
d18197
 
4.9%
r17261
 
4.6%
15468
 
4.2%
U13444
 
3.6%
s12350
 
3.3%
Other values (40)121834
32.7%

Donor Agency
Categorical

HIGH CARDINALITY

Distinct212
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
Agency for International Development
5521 
Japanese International Co-operation Agency
3170 
Ministry of Foreign Affairs
2862 
UNICEF
2680 
Department of Foreign Affairs
 
1393
Other values (207)
22487 

Length

Max length75
Median length29
Mean length28.9029465
Min length3

Characters and Unicode

Total characters1101578
Distinct characters61
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)0.1%

Sample

1st rowUNDP
2nd rowUNDP
3rd rowUNDP
4th rowIMF concessional
5th rowIMF concessional
ValueCountFrequency (%)
Agency for International Development5521
 
14.5%
Japanese International Co-operation Agency3170
 
8.3%
Ministry of Foreign Affairs2862
 
7.5%
UNICEF2680
 
7.0%
Department of Foreign Affairs1393
 
3.7%
Global Affairs Canada1287
 
3.4%
COOP DECENTRAL/MAE1271
 
3.3%
UNDP965
 
2.5%
Cantons and municipalities865
 
2.3%
WHO857
 
2.2%
Other values (202)17242
45.2%
Histogram of lengths of the category
ValueCountFrequency (%)
agency10908
 
8.2%
international10805
 
8.1%
development9251
 
7.0%
for8811
 
6.6%
of6930
 
5.2%
affairs6331
 
4.8%
foreign5860
 
4.4%
co-operation4983
 
3.7%
and4596
 
3.5%
ministry4364
 
3.3%
Other values (317)60183
45.2%

Most occurring characters

ValueCountFrequency (%)
e108682
 
9.9%
n108096
 
9.8%
95010
 
8.6%
a79555
 
7.2%
o77353
 
7.0%
t70290
 
6.4%
i67638
 
6.1%
r66568
 
6.0%
l35855
 
3.3%
f34072
 
3.1%
Other values (51)358459
32.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter847314
76.9%
Uppercase Letter148521
 
13.5%
Space Separator95010
 
8.6%
Dash Punctuation5280
 
0.5%
Other Punctuation3720
 
0.3%
Close Punctuation817
 
0.1%
Open Punctuation647
 
0.1%
Math Symbol269
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
A22507
15.2%
D17881
12.0%
I16325
11.0%
C15729
10.6%
F11396
 
7.7%
E10183
 
6.9%
N7189
 
4.8%
M7083
 
4.8%
O5215
 
3.5%
U4421
 
3.0%
Other values (15)30592
20.6%
ValueCountFrequency (%)
e108682
12.8%
n108096
12.8%
a79555
9.4%
o77353
9.1%
t70290
8.3%
i67638
8.0%
r66568
7.9%
l35855
 
4.2%
f34072
 
4.0%
s33505
 
4.0%
Other values (15)165700
19.6%
ValueCountFrequency (%)
/1515
40.7%
,1387
37.3%
&745
20.0%
.69
 
1.9%
'4
 
0.1%
ValueCountFrequency (%)
=231
85.9%
±38
 
14.1%
ValueCountFrequency (%)
95010
100.0%
ValueCountFrequency (%)
(647
100.0%
ValueCountFrequency (%)
-5280
100.0%
ValueCountFrequency (%)
)817
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin995835
90.4%
Common105743
 
9.6%

Most frequent character per script

ValueCountFrequency (%)
e108682
 
10.9%
n108096
 
10.9%
a79555
 
8.0%
o77353
 
7.8%
t70290
 
7.1%
i67638
 
6.8%
r66568
 
6.7%
l35855
 
3.6%
f34072
 
3.4%
s33505
 
3.4%
Other values (40)314221
31.6%
ValueCountFrequency (%)
95010
89.8%
-5280
 
5.0%
/1515
 
1.4%
,1387
 
1.3%
)817
 
0.8%
&745
 
0.7%
(647
 
0.6%
=231
 
0.2%
.69
 
0.1%
±38
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1101540
> 99.9%
None38
 
< 0.1%

Most frequent character per block

ValueCountFrequency (%)
e108682
 
9.9%
n108096
 
9.8%
95010
 
8.6%
a79555
 
7.2%
o77353
 
7.0%
t70290
 
6.4%
i67638
 
6.1%
r66568
 
6.0%
l35855
 
3.3%
f34072
 
3.1%
Other values (50)358421
32.5%
ValueCountFrequency (%)
±38
100.0%

OECD ID
Categorical

HIGH CARDINALITY

Distinct27147
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
2.0172E+13
 
1013
2.0152E+13
 
70
2.0162E+13
 
40
2.01523E+12
 
22
2.0132E+12
 
18
Other values (27142)
36950 

Length

Max length14
Median length10
Mean length10.1905649
Min length9

Characters and Unicode

Total characters388393
Distinct characters49
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23059 ?
Unique (%)60.5%

Sample

1st row2017001425
2nd row2017001299
3rd row2017002535
4th row2017000014
5th row2017000025
ValueCountFrequency (%)
2.0172E+131013
 
2.7%
2.0152E+1370
 
0.2%
2.0162E+1340
 
0.1%
2.01523E+1222
 
0.1%
2.0132E+1218
 
< 0.1%
201700000718
 
< 0.1%
2.0142E+1318
 
< 0.1%
201700001117
 
< 0.1%
2.0132E+1316
 
< 0.1%
201700001216
 
< 0.1%
Other values (27137)36865
96.7%
Histogram of lengths of the category
ValueCountFrequency (%)
2.0172e+131013
 
2.7%
2.0152e+1370
 
0.2%
2.0162e+1340
 
0.1%
2.01523e+1222
 
0.1%
201700000718
 
< 0.1%
2.0142e+1318
 
< 0.1%
2.0132e+1218
 
< 0.1%
201700001117
 
< 0.1%
201700001216
 
< 0.1%
2.0132e+1316
 
< 0.1%
Other values (27137)36865
96.7%

Most occurring characters

ValueCountFrequency (%)
0111146
28.6%
163390
16.3%
259167
15.2%
750872
13.1%
516978
 
4.4%
616598
 
4.3%
316426
 
4.2%
915243
 
3.9%
414473
 
3.7%
813742
 
3.5%
Other values (39)10358
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number378035
97.3%
Uppercase Letter6717
 
1.7%
Math Symbol1320
 
0.3%
Other Punctuation1317
 
0.3%
Dash Punctuation753
 
0.2%
Lowercase Letter251
 
0.1%

Most frequent character per category

ValueCountFrequency (%)
A1796
26.7%
E1474
21.9%
B1277
19.0%
C1219
18.1%
D295
 
4.4%
X103
 
1.5%
F93
 
1.4%
G81
 
1.2%
Z47
 
0.7%
K45
 
0.7%
Other values (15)287
 
4.3%
ValueCountFrequency (%)
a165
65.7%
b36
 
14.3%
c19
 
7.6%
d12
 
4.8%
e7
 
2.8%
f4
 
1.6%
g3
 
1.2%
z2
 
0.8%
r1
 
0.4%
l1
 
0.4%
ValueCountFrequency (%)
0111146
29.4%
163390
16.8%
259167
15.7%
750872
13.5%
516978
 
4.5%
616598
 
4.4%
316426
 
4.3%
915243
 
4.0%
414473
 
3.8%
813742
 
3.6%
ValueCountFrequency (%)
+1320
100.0%
ValueCountFrequency (%)
.1317
100.0%
ValueCountFrequency (%)
-753
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common381425
98.2%
Latin6968
 
1.8%

Most frequent character per script

ValueCountFrequency (%)
A1796
25.8%
E1474
21.2%
B1277
18.3%
C1219
17.5%
D295
 
4.2%
a165
 
2.4%
X103
 
1.5%
F93
 
1.3%
G81
 
1.2%
Z47
 
0.7%
Other values (26)418
 
6.0%
ValueCountFrequency (%)
0111146
29.1%
163390
16.6%
259167
15.5%
750872
13.3%
516978
 
4.5%
616598
 
4.4%
316426
 
4.3%
915243
 
4.0%
414473
 
3.8%
813742
 
3.6%
Other values (3)3390
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII388393
100.0%

Most frequent character per block

ValueCountFrequency (%)
0111146
28.6%
163390
16.3%
259167
15.2%
750872
13.1%
516978
 
4.4%
616598
 
4.3%
316426
 
4.2%
915243
 
3.9%
414473
 
3.7%
813742
 
3.5%
Other values (39)10358
 
2.7%

Donor Project ID
Categorical

HIGH CARDINALITY
MISSING

Distinct19217
Distinct (%)63.1%
Missing7669
Missing (%)20.1%
Memory size297.9 KiB
B2PROGRAM-CSFPRGFND
 
455
2.01704E+12
 
325
B2MISCARA-CSFSTRAT
 
251
2.01803E+12
 
219
B2PROJECT-CSFPPROJECT
 
142
Other values (19212)
29052 

Length

Max length255
Median length10
Mean length12.53228879
Min length1

Characters and Unicode

Total characters381533
Distinct characters75
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16463 ?
Unique (%)54.1%

Sample

1st row90771
2nd row89430
3rd row105530
4th rowB2PROGRAM-CSFPRGFND
5th rowB2PROGRAM-CSFPRGFND
ValueCountFrequency (%)
B2PROGRAM-CSFPRGFND455
 
1.2%
2.01704E+12325
 
0.9%
B2MISCARA-CSFSTRAT251
 
0.7%
2.01803E+12219
 
0.6%
B2PROJECT-CSFPPROJECT142
 
0.4%
INM061137
 
0.4%
###############################################################################################################################################################################################################################################################116
 
0.3%
2.01718E+1195
 
0.2%
P00073400290
 
0.2%
2.10E+1286
 
0.2%
Other values (19207)28528
74.9%
(Missing)7669
 
20.1%
Histogram of lengths of the category
ValueCountFrequency (%)
b2program-csfprgfnd455
 
1.4%
454
 
1.4%
2.01704e+12325
 
1.0%
b2miscara-csfstrat251
 
0.8%
2.01803e+12219
 
0.7%
2017178
 
0.6%
b2project-csfpproject142
 
0.4%
inm061137
 
0.4%
2.01718e+1195
 
0.3%
p00073400290
 
0.3%
Other values (19254)29383
92.6%

Most occurring characters

ValueCountFrequency (%)
062199
16.3%
137655
 
9.9%
#29580
 
7.8%
227077
 
7.1%
721593
 
5.7%
620120
 
5.3%
-18558
 
4.9%
515856
 
4.2%
315824
 
4.1%
415658
 
4.1%
Other values (65)117413
30.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number239119
62.7%
Uppercase Letter60587
 
15.9%
Other Punctuation47915
 
12.6%
Dash Punctuation18558
 
4.9%
Connector Punctuation8878
 
2.3%
Lowercase Letter4149
 
1.1%
Space Separator1299
 
0.3%
Math Symbol995
 
0.3%
Open Punctuation17
 
< 0.1%
Close Punctuation13
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
A9051
14.9%
P4451
 
7.3%
E4272
 
7.1%
S4249
 
7.0%
C4049
 
6.7%
R3955
 
6.5%
D3677
 
6.1%
F3206
 
5.3%
M3133
 
5.2%
B2822
 
4.7%
Other values (16)17722
29.3%
ValueCountFrequency (%)
r747
18.0%
s722
17.4%
c645
15.5%
e308
7.4%
a279
 
6.7%
i218
 
5.3%
n195
 
4.7%
o181
 
4.4%
t178
 
4.3%
u109
 
2.6%
Other values (16)567
13.7%
ValueCountFrequency (%)
062199
26.0%
137655
15.7%
227077
11.3%
721593
 
9.0%
620120
 
8.4%
515856
 
6.6%
315824
 
6.6%
415658
 
6.5%
812020
 
5.0%
911117
 
4.6%
ValueCountFrequency (%)
#29580
61.7%
/14403
30.1%
.3883
 
8.1%
\29
 
0.1%
,13
 
< 0.1%
:7
 
< 0.1%
ValueCountFrequency (%)
-18558
100.0%
ValueCountFrequency (%)
1299
100.0%
ValueCountFrequency (%)
_8878
100.0%
ValueCountFrequency (%)
)13
100.0%
ValueCountFrequency (%)
(17
100.0%
ValueCountFrequency (%)
+995
100.0%
ValueCountFrequency (%)
`3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common316797
83.0%
Latin64736
 
17.0%

Most frequent character per script

ValueCountFrequency (%)
A9051
14.0%
P4451
 
6.9%
E4272
 
6.6%
S4249
 
6.6%
C4049
 
6.3%
R3955
 
6.1%
D3677
 
5.7%
F3206
 
5.0%
M3133
 
4.8%
B2822
 
4.4%
Other values (42)21871
33.8%
ValueCountFrequency (%)
062199
19.6%
137655
11.9%
#29580
9.3%
227077
8.5%
721593
 
6.8%
620120
 
6.4%
-18558
 
5.9%
515856
 
5.0%
315824
 
5.0%
415658
 
4.9%
Other values (13)52677
16.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII381532
> 99.9%
None1
 
< 0.1%

Most frequent character per block

ValueCountFrequency (%)
062199
16.3%
137655
 
9.9%
#29580
 
7.8%
227077
 
7.1%
721593
 
5.7%
620120
 
5.3%
-18558
 
4.9%
515856
 
4.2%
315824
 
4.1%
415658
 
4.1%
Other values (64)117412
30.8%
ValueCountFrequency (%)
á1
100.0%

Recipient Name
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct51
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
Kenya
 
2019
Ethiopia
 
1990
South of Sahara, regional
 
1839
Tanzania
 
1665
Senegal
 
1516
Other values (46)
29084 

Length

Max length32
Median length7
Mean length9.540681657
Min length4

Characters and Unicode

Total characters363624
Distinct characters50
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKenya
2nd rowKenya
3rd rowKenya
4th rowBenin
5th rowBurkina Faso
ValueCountFrequency (%)
Kenya2019
 
5.3%
Ethiopia1990
 
5.2%
South of Sahara, regional1839
 
4.8%
Tanzania1665
 
4.4%
Senegal1516
 
4.0%
Uganda1506
 
4.0%
Democratic Republic of the Congo1486
 
3.9%
Mozambique1437
 
3.8%
Mali1347
 
3.5%
Nigeria1271
 
3.3%
Other values (41)22037
57.8%
Histogram of lengths of the category
ValueCountFrequency (%)
south3816
 
6.8%
of3325
 
6.0%
kenya2019
 
3.6%
ethiopia1990
 
3.6%
republic1937
 
3.5%
regional1839
 
3.3%
sahara1839
 
3.3%
congo1761
 
3.2%
sudan1692
 
3.0%
tanzania1665
 
3.0%
Other values (54)33956
60.8%

Most occurring characters

ValueCountFrequency (%)
a56073
15.4%
i32055
 
8.8%
o26410
 
7.3%
e24601
 
6.8%
n24227
 
6.7%
17726
 
4.9%
r17322
 
4.8%
u13566
 
3.7%
t11778
 
3.2%
h10978
 
3.0%
Other values (40)128888
35.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter293000
80.6%
Uppercase Letter49318
 
13.6%
Space Separator17726
 
4.9%
Other Punctuation2567
 
0.7%
Open Punctuation728
 
0.2%
Dash Punctuation285
 
0.1%

Most frequent character per category

ValueCountFrequency (%)
a56073
19.1%
i32055
10.9%
o26410
9.0%
e24601
 
8.4%
n24227
 
8.3%
r17322
 
5.9%
u13566
 
4.6%
t11778
 
4.0%
h10978
 
3.7%
g10895
 
3.7%
Other values (15)65095
22.2%
ValueCountFrequency (%)
S10467
21.2%
M5628
11.4%
C4844
9.8%
B3191
 
6.5%
R2844
 
5.8%
N2520
 
5.1%
E2475
 
5.0%
G2371
 
4.8%
T2358
 
4.8%
K2019
 
4.1%
Other values (10)10601
21.5%
ValueCountFrequency (%)
,1839
71.6%
'728
 
28.4%
ValueCountFrequency (%)
17726
100.0%
ValueCountFrequency (%)
(728
100.0%
ValueCountFrequency (%)
-285
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin342318
94.1%
Common21306
 
5.9%

Most frequent character per script

ValueCountFrequency (%)
a56073
16.4%
i32055
 
9.4%
o26410
 
7.7%
e24601
 
7.2%
n24227
 
7.1%
r17322
 
5.1%
u13566
 
4.0%
t11778
 
3.4%
h10978
 
3.2%
g10895
 
3.2%
Other values (35)114413
33.4%
ValueCountFrequency (%)
17726
83.2%
,1839
 
8.6%
(728
 
3.4%
'728
 
3.4%
-285
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII363624
100.0%

Most frequent character per block

ValueCountFrequency (%)
a56073
15.4%
i32055
 
8.8%
o26410
 
7.3%
e24601
 
6.8%
n24227
 
6.7%
17726
 
4.9%
r17322
 
4.8%
u13566
 
3.7%
t11778
 
3.2%
h10978
 
3.0%
Other values (40)128888
35.4%

Region
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
South of Sahara
38113 

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters571695
Distinct characters9
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSouth of Sahara
2nd rowSouth of Sahara
3rd rowSouth of Sahara
4th rowSouth of Sahara
5th rowSouth of Sahara
ValueCountFrequency (%)
South of Sahara38113
100.0%
Histogram of lengths of the category
ValueCountFrequency (%)
sahara38113
33.3%
south38113
33.3%
of38113
33.3%

Most occurring characters

ValueCountFrequency (%)
a114339
20.0%
S76226
13.3%
o76226
13.3%
h76226
13.3%
76226
13.3%
u38113
 
6.7%
t38113
 
6.7%
f38113
 
6.7%
r38113
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter419243
73.3%
Uppercase Letter76226
 
13.3%
Space Separator76226
 
13.3%

Most frequent character per category

ValueCountFrequency (%)
a114339
27.3%
o76226
18.2%
h76226
18.2%
u38113
 
9.1%
t38113
 
9.1%
f38113
 
9.1%
r38113
 
9.1%
ValueCountFrequency (%)
S76226
100.0%
ValueCountFrequency (%)
76226
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin495469
86.7%
Common76226
 
13.3%

Most frequent character per script

ValueCountFrequency (%)
a114339
23.1%
S76226
15.4%
o76226
15.4%
h76226
15.4%
u38113
 
7.7%
t38113
 
7.7%
f38113
 
7.7%
r38113
 
7.7%
ValueCountFrequency (%)
76226
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII571695
100.0%

Most frequent character per block

ValueCountFrequency (%)
a114339
20.0%
S76226
13.3%
o76226
13.3%
h76226
13.3%
76226
13.3%
u38113
 
6.7%
t38113
 
6.7%
f38113
 
6.7%
r38113
 
6.7%

Income Group
Categorical

HIGH CORRELATION

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
LDCs
26548 
LMICs
6730 
UMICs
 
2168
Part I unallocated by income
 
1839
Other LICs
 
756

Length

Max length28
Median length4
Mean length5.514286464
Min length4

Characters and Unicode

Total characters210166
Distinct characters27
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLMICs
2nd rowLMICs
3rd rowLMICs
4th rowLDCs
5th rowLDCs
ValueCountFrequency (%)
LDCs26548
69.7%
LMICs6730
 
17.7%
UMICs2168
 
5.7%
Part I unallocated by income1839
 
4.8%
Other LICs756
 
2.0%
MADCTs72
 
0.2%
Histogram of lengths of the category
ValueCountFrequency (%)
ldcs26548
57.4%
lmics6730
 
14.6%
umics2168
 
4.7%
i1839
 
4.0%
income1839
 
4.0%
part1839
 
4.0%
unallocated1839
 
4.0%
by1839
 
4.0%
other756
 
1.6%
lics756
 
1.6%

Most occurring characters

ValueCountFrequency (%)
C36274
17.3%
s36274
17.3%
L34034
16.2%
D26620
12.7%
I11493
 
5.5%
M8970
 
4.3%
8112
 
3.9%
a5517
 
2.6%
t4434
 
2.1%
e4434
 
2.1%
Other values (17)34004
16.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter122298
58.2%
Lowercase Letter79756
37.9%
Space Separator8112
 
3.9%

Most frequent character per category

ValueCountFrequency (%)
s36274
45.5%
a5517
 
6.9%
t4434
 
5.6%
e4434
 
5.6%
n3678
 
4.6%
l3678
 
4.6%
o3678
 
4.6%
c3678
 
4.6%
r2595
 
3.3%
u1839
 
2.3%
Other values (6)9951
 
12.5%
ValueCountFrequency (%)
C36274
29.7%
L34034
27.8%
D26620
21.8%
I11493
 
9.4%
M8970
 
7.3%
U2168
 
1.8%
P1839
 
1.5%
O756
 
0.6%
A72
 
0.1%
T72
 
0.1%
ValueCountFrequency (%)
8112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin202054
96.1%
Common8112
 
3.9%

Most frequent character per script

ValueCountFrequency (%)
C36274
18.0%
s36274
18.0%
L34034
16.8%
D26620
13.2%
I11493
 
5.7%
M8970
 
4.4%
a5517
 
2.7%
t4434
 
2.2%
e4434
 
2.2%
n3678
 
1.8%
Other values (16)30326
15.0%
ValueCountFrequency (%)
8112
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII210166
100.0%

Most frequent character per block

ValueCountFrequency (%)
C36274
17.3%
s36274
17.3%
L34034
16.2%
D26620
12.7%
I11493
 
5.5%
M8970
 
4.3%
8112
 
3.9%
a5517
 
2.6%
t4434
 
2.1%
e4434
 
2.1%
Other values (17)34004
16.2%

Channel of Delivery Code
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21508.4092
Minimum0
Maximum90000
Zeros4629
Zeros (%)12.1%
Memory size297.9 KiB

Quantile statistics

Minimum0
5-th percentile0
Q110000
median20000
Q320000
95-th percentile60000
Maximum90000
Range90000
Interquartile range (IQR)10000

Descriptive statistics

Standard deviation18506.62903
Coefficient of variation (CV)0.860436904
Kurtosis0.8641356239
Mean21508.4092
Median Absolute Deviation (MAD)10000
Skewness1.207601997
Sum819750000
Variance342495317.9
MonotocityNot monotonic
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1000013194
34.6%
2000011214
29.4%
04629
 
12.1%
400003311
 
8.7%
600003152
 
8.3%
500002183
 
5.7%
90000332
 
0.9%
3000098
 
0.3%
ValueCountFrequency (%)
04629
 
12.1%
1000013194
34.6%
2000011214
29.4%
3000098
 
0.3%
400003311
 
8.7%
ValueCountFrequency (%)
90000332
 
0.9%
600003152
8.3%
500002183
5.7%
400003311
8.7%
3000098
 
0.3%

Channel of Delivery Name
Categorical

HIGH CARDINALITY
MISSING

Distinct144
Distinct (%)0.4%
Missing4629
Missing (%)12.1%
Memory size297.9 KiB
Donor country-based NGO
8377 
Recipient Government
4377 
Donor Government
3560 
Central Government
3491 
University, college or other teaching institution, research institute or think-tank
1944 
Other values (139)
11735 

Length

Max length100
Median length23
Mean length28.11892247
Min length5

Characters and Unicode

Total characters941534
Distinct characters55
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)0.1%

Sample

1st rowDonor country-based NGO
2nd rowDonor country-based NGO
3rd rowDonor country-based NGO
4th rowDonor country-based NGO
5th rowDonor country-based NGO
ValueCountFrequency (%)
Donor country-based NGO8377
22.0%
Recipient Government4377
11.5%
Donor Government3560
9.3%
Central Government3491
9.2%
University, college or other teaching institution, research institute or think-tank1944
 
5.1%
Private sector in provider country1704
 
4.5%
Developing country-based NGO1096
 
2.9%
International NGO1095
 
2.9%
Private sector in recipient country1019
 
2.7%
Other public entities in donor country652
 
1.7%
Other values (134)6169
16.2%
(Missing)4629
12.1%
Histogram of lengths of the category
ValueCountFrequency (%)
donor12589
 
10.8%
government11965
 
10.3%
ngo10896
 
9.4%
country-based9473
 
8.2%
recipient5424
 
4.7%
or3941
 
3.4%
country3542
 
3.0%
central3492
 
3.0%
in3460
 
3.0%
other3280
 
2.8%
Other values (258)48108
41.4%

Most occurring characters

ValueCountFrequency (%)
n99270
 
10.5%
e89951
 
9.6%
85318
 
9.1%
o84447
 
9.0%
t80443
 
8.5%
r77277
 
8.2%
i56367
 
6.0%
a36749
 
3.9%
c32149
 
3.4%
s29704
 
3.2%
Other values (45)269859
28.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter744759
79.1%
Uppercase Letter93391
 
9.9%
Space Separator85318
 
9.1%
Dash Punctuation12706
 
1.3%
Other Punctuation4093
 
0.4%
Open Punctuation650
 
0.1%
Close Punctuation617
 
0.1%

Most frequent character per category

ValueCountFrequency (%)
n99270
13.3%
e89951
12.1%
o84447
11.3%
t80443
10.8%
r77277
10.4%
i56367
7.6%
a36749
 
4.9%
c32149
 
4.3%
s29704
 
4.0%
u21745
 
2.9%
Other values (15)136657
18.3%
ValueCountFrequency (%)
G23306
25.0%
O13986
15.0%
D13770
14.7%
N13159
14.1%
C5614
 
6.0%
R5065
 
5.4%
P5017
 
5.4%
U3888
 
4.2%
I2636
 
2.8%
F1449
 
1.6%
Other values (12)5501
 
5.9%
ValueCountFrequency (%)
,4086
99.8%
/6
 
0.1%
'1
 
< 0.1%
ValueCountFrequency (%)
(623
95.8%
[27
 
4.2%
ValueCountFrequency (%)
85318
100.0%
ValueCountFrequency (%)
-12706
100.0%
ValueCountFrequency (%)
)617
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin838150
89.0%
Common103384
 
11.0%

Most frequent character per script

ValueCountFrequency (%)
n99270
11.8%
e89951
 
10.7%
o84447
 
10.1%
t80443
 
9.6%
r77277
 
9.2%
i56367
 
6.7%
a36749
 
4.4%
c32149
 
3.8%
s29704
 
3.5%
G23306
 
2.8%
Other values (37)228487
27.3%
ValueCountFrequency (%)
85318
82.5%
-12706
 
12.3%
,4086
 
4.0%
(623
 
0.6%
)617
 
0.6%
[27
 
< 0.1%
/6
 
< 0.1%
'1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII941145
> 99.9%
None389
 
< 0.1%

Most frequent character per block

ValueCountFrequency (%)
n99270
 
10.5%
e89951
 
9.6%
85318
 
9.1%
o84447
 
9.0%
t80443
 
8.5%
r77277
 
8.2%
i56367
 
6.0%
a36749
 
3.9%
c32149
 
3.4%
s29704
 
3.2%
Other values (44)269470
28.6%
ValueCountFrequency (%)
Æ389
100.0%

Category Code
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
10
38113 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters76226
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row10
ValueCountFrequency (%)
1038113
100.0%
Histogram of lengths of the category
ValueCountFrequency (%)
1038113
100.0%

Most occurring characters

ValueCountFrequency (%)
138113
50.0%
038113
50.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number76226
100.0%

Most frequent character per category

ValueCountFrequency (%)
138113
50.0%
038113
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common76226
100.0%

Most frequent character per script

ValueCountFrequency (%)
138113
50.0%
038113
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII76226
100.0%

Most frequent character per block

ValueCountFrequency (%)
138113
50.0%
038113
50.0%

Category Name
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
ODA
38113 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters114339
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowODA
2nd rowODA
3rd rowODA
4th rowODA
5th rowODA
ValueCountFrequency (%)
ODA38113
100.0%
Histogram of lengths of the category
ValueCountFrequency (%)
oda38113
100.0%

Most occurring characters

ValueCountFrequency (%)
O38113
33.3%
D38113
33.3%
A38113
33.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter114339
100.0%

Most frequent character per category

ValueCountFrequency (%)
O38113
33.3%
D38113
33.3%
A38113
33.3%

Most occurring scripts

ValueCountFrequency (%)
Latin114339
100.0%

Most frequent character per script

ValueCountFrequency (%)
O38113
33.3%
D38113
33.3%
A38113
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII114339
100.0%

Most frequent character per block

ValueCountFrequency (%)
O38113
33.3%
D38113
33.3%
A38113
33.3%

FinanceType Code
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.4225855
Minimum110
Maximum633
Zeros0
Zeros (%)0.0%
Memory size297.9 KiB

Quantile statistics

Minimum110
5-th percentile110
Q1110
median110
Q3110
95-th percentile110
Maximum633
Range523
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51.73343032
Coefficient of variation (CV)0.4368544236
Kurtosis37.27512117
Mean118.4225855
Median Absolute Deviation (MAD)0
Skewness6.148411669
Sum4513440
Variance2676.347813
MonotocityNot monotonic
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
11037107
97.4%
421931
 
2.4%
61136
 
0.1%
51016
 
< 0.1%
21011
 
< 0.1%
6334
 
< 0.1%
6133
 
< 0.1%
5202
 
< 0.1%
6122
 
< 0.1%
6181
 
< 0.1%
ValueCountFrequency (%)
11037107
97.4%
21011
 
< 0.1%
421931
 
2.4%
51016
 
< 0.1%
5202
 
< 0.1%
ValueCountFrequency (%)
6334
 
< 0.1%
6181
 
< 0.1%
6133
 
< 0.1%
6122
 
< 0.1%
61136
0.1%

FinanceType Name
Categorical

HIGH CORRELATION

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
Standard grant
37107 
Standard loan
 
931
Debt forgiveness: ODA claims (I)
 
36
Common equity
 
16
Interest subsidy
 
11
Other values (5)
 
12

Length

Max length53
Median length14
Mean length14.00083961
Min length13

Characters and Unicode

Total characters533614
Distinct characters35
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowStandard grant
2nd rowStandard grant
3rd rowStandard grant
4th rowStandard loan
5th rowStandard loan
ValueCountFrequency (%)
Standard grant37107
97.4%
Standard loan931
 
2.4%
Debt forgiveness: ODA claims (I)36
 
0.1%
Common equity16
 
< 0.1%
Interest subsidy11
 
< 0.1%
Debt forgiveness/conversion: export credit claims (P)4
 
< 0.1%
Debt forgiveness: OOF claims (I)3
 
< 0.1%
Shares in collective investment vehicles 2
 
< 0.1%
Debt forgiveness: OOF claims (P)2
 
< 0.1%
Debt forgiveness: Other1
 
< 0.1%
Histogram of lengths of the category
ValueCountFrequency (%)
standard38038
49.8%
grant37107
48.6%
loan931
 
1.2%
debt46
 
0.1%
claims45
 
0.1%
forgiveness42
 
0.1%
i39
 
0.1%
oda36
 
< 0.1%
equity16
 
< 0.1%
common16
 
< 0.1%
Other values (13)56
 
0.1%

Most occurring characters

ValueCountFrequency (%)
a114161
21.4%
n76163
14.3%
d76091
14.3%
t75244
14.1%
r75217
14.1%
38261
 
7.2%
S38040
 
7.1%
g37153
 
7.0%
o1023
 
0.2%
l982
 
0.2%
Other values (25)1279
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter456931
85.6%
Uppercase Letter38282
 
7.2%
Space Separator38261
 
7.2%
Other Punctuation50
 
< 0.1%
Open Punctuation45
 
< 0.1%
Close Punctuation45
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
a114161
25.0%
n76163
16.7%
d76091
16.7%
t75244
16.5%
r75217
16.5%
g37153
 
8.1%
o1023
 
0.2%
l982
 
0.2%
e203
 
< 0.1%
s180
 
< 0.1%
Other values (12)514
 
0.1%
ValueCountFrequency (%)
S38040
99.4%
D82
 
0.2%
I50
 
0.1%
O47
 
0.1%
A36
 
0.1%
C16
 
< 0.1%
P6
 
< 0.1%
F5
 
< 0.1%
ValueCountFrequency (%)
:46
92.0%
/4
 
8.0%
ValueCountFrequency (%)
38261
100.0%
ValueCountFrequency (%)
(45
100.0%
ValueCountFrequency (%)
)45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin495213
92.8%
Common38401
 
7.2%

Most frequent character per script

ValueCountFrequency (%)
a114161
23.1%
n76163
15.4%
d76091
15.4%
t75244
15.2%
r75217
15.2%
S38040
 
7.7%
g37153
 
7.5%
o1023
 
0.2%
l982
 
0.2%
e203
 
< 0.1%
Other values (20)936
 
0.2%
ValueCountFrequency (%)
38261
99.6%
:46
 
0.1%
(45
 
0.1%
)45
 
0.1%
/4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII533614
100.0%

Most frequent character per block

ValueCountFrequency (%)
a114161
21.4%
n76163
14.3%
d76091
14.3%
t75244
14.1%
r75217
14.1%
38261
 
7.2%
S38040
 
7.1%
g37153
 
7.0%
o1023
 
0.2%
l982
 
0.2%
Other values (25)1279
 
0.2%

BiMulti Code
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
1
28387 
4
6786 
7
 
1644
3
 
1282
8
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters38113
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4
ValueCountFrequency (%)
128387
74.5%
46786
 
17.8%
71644
 
4.3%
31282
 
3.4%
814
 
< 0.1%
Histogram of lengths of the category
ValueCountFrequency (%)
128387
74.5%
46786
 
17.8%
71644
 
4.3%
31282
 
3.4%
814
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
128387
74.5%
46786
 
17.8%
71644
 
4.3%
31282
 
3.4%
814
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number38113
100.0%

Most frequent character per category

ValueCountFrequency (%)
128387
74.5%
46786
 
17.8%
71644
 
4.3%
31282
 
3.4%
814
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common38113
100.0%

Most frequent character per script

ValueCountFrequency (%)
128387
74.5%
46786
 
17.8%
71644
 
4.3%
31282
 
3.4%
814
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII38113
100.0%

Most frequent character per block

ValueCountFrequency (%)
128387
74.5%
46786
 
17.8%
71644
 
4.3%
31282
 
3.4%
814
 
< 0.1%

Type of Aid Code
Categorical

HIGH CORRELATION

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
C01
24021 
D02
3695 
B01
2791 
D01
 
2016
E01
 
1724
Other values (10)
3866 

Length

Max length3
Median length3
Mean length2.999947524
Min length1

Characters and Unicode

Total characters114337
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowC01
2nd rowC01
3rd rowC01
4th rowA01
5th rowA01
ValueCountFrequency (%)
C0124021
63.0%
D023695
 
9.7%
B012791
 
7.3%
D012016
 
5.3%
E011724
 
4.5%
G011557
 
4.1%
B031456
 
3.8%
E02244
 
0.6%
A02191
 
0.5%
B04145
 
0.4%
Other values (5)273
 
0.7%
Histogram of lengths of the category
ValueCountFrequency (%)
c0124021
63.0%
d023695
 
9.7%
b012791
 
7.3%
d012016
 
5.3%
e011724
 
4.5%
g011557
 
4.1%
b031456
 
3.8%
e02244
 
0.6%
a02191
 
0.5%
b04145
 
0.4%
Other values (5)273
 
0.7%

Most occurring characters

ValueCountFrequency (%)
038113
33.3%
132298
28.2%
C24021
21.0%
D5711
 
5.0%
B4392
 
3.8%
24213
 
3.7%
E1968
 
1.7%
G1557
 
1.4%
31456
 
1.3%
A256
 
0.2%
Other values (3)352
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number76225
66.7%
Uppercase Letter38112
33.3%

Most frequent character per category

ValueCountFrequency (%)
C24021
63.0%
D5711
 
15.0%
B4392
 
11.5%
E1968
 
5.2%
G1557
 
4.1%
A256
 
0.7%
H161
 
0.4%
F46
 
0.1%
ValueCountFrequency (%)
038113
50.0%
132298
42.4%
24213
 
5.5%
31456
 
1.9%
4145
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common76225
66.7%
Latin38112
33.3%

Most frequent character per script

ValueCountFrequency (%)
C24021
63.0%
D5711
 
15.0%
B4392
 
11.5%
E1968
 
5.2%
G1557
 
4.1%
A256
 
0.7%
H161
 
0.4%
F46
 
0.1%
ValueCountFrequency (%)
038113
50.0%
132298
42.4%
24213
 
5.5%
31456
 
1.9%
4145
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII114337
100.0%

Most frequent character per block

ValueCountFrequency (%)
038113
33.3%
132298
28.2%
C24021
21.0%
D5711
 
5.0%
B4392
 
3.8%
24213
 
3.7%
E1968
 
1.7%
G1557
 
1.4%
31456
 
1.3%
A256
 
0.2%
Other values (3)352
 
0.3%

Type of Aid Name
Categorical

HIGH CORRELATION

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
Project-type interventions
24021 
Other technical assistance
3695 
Core support to NGOs, other private bodies, PPPs and research institutes
2791 
Donor country personnel
 
2016
Scholarships/training in donor country
 
1724
Other values (10)
3866 

Length

Max length87
Median length26
Mean length32.72361137
Min length11

Characters and Unicode

Total characters1247195
Distinct characters38
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowProject-type interventions
2nd rowProject-type interventions
3rd rowProject-type interventions
4th rowGeneral budget support
5th rowGeneral budget support
ValueCountFrequency (%)
Project-type interventions24021
63.0%
Other technical assistance3695
 
9.7%
Core support to NGOs, other private bodies, PPPs and research institutes2791
 
7.3%
Donor country personnel2016
 
5.3%
Scholarships/training in donor country1724
 
4.5%
Administrative costs not included elsewhere1557
 
4.1%
Contributions to specific-purpose programmes and funds managed by implementing partners1456
 
3.8%
Imputed student costs244
 
0.6%
Sector budget support191
 
0.5%
Basket funds/pooled funding145
 
0.4%
Other values (5)273
 
0.7%
Histogram of lengths of the category
ValueCountFrequency (%)
interventions24021
18.8%
project-type24021
18.8%
other6486
 
5.1%
to4247
 
3.3%
and4247
 
3.3%
donor3823
 
3.0%
country3740
 
2.9%
assistance3695
 
2.9%
technical3695
 
2.9%
support3047
 
2.4%
Other values (39)46695
36.6%

Most occurring characters

ValueCountFrequency (%)
e152737
12.2%
t147710
11.8%
n119187
9.6%
r94162
 
7.5%
89604
 
7.2%
i88814
 
7.1%
o88660
 
7.1%
s76920
 
6.2%
c49906
 
4.0%
p45851
 
3.7%
Other values (28)293644
23.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1069721
85.8%
Space Separator89604
 
7.2%
Uppercase Letter54859
 
4.4%
Dash Punctuation25477
 
2.0%
Other Punctuation7534
 
0.6%

Most frequent character per category

ValueCountFrequency (%)
e152737
14.3%
t147710
13.8%
n119187
11.1%
r94162
8.8%
i88814
8.3%
o88660
8.3%
s76920
7.2%
c49906
 
4.7%
p45851
 
4.3%
a32194
 
3.0%
Other values (13)173580
16.2%
ValueCountFrequency (%)
P32394
59.0%
O6486
 
11.8%
C4247
 
7.7%
G2856
 
5.2%
N2792
 
5.1%
D2140
 
3.9%
S1915
 
3.5%
A1557
 
2.8%
I244
 
0.4%
B145
 
0.3%
ValueCountFrequency (%)
,5582
74.1%
/1952
 
25.9%
ValueCountFrequency (%)
-25477
100.0%
ValueCountFrequency (%)
89604
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1124580
90.2%
Common122615
 
9.8%

Most frequent character per script

ValueCountFrequency (%)
e152737
13.6%
t147710
13.1%
n119187
10.6%
r94162
8.4%
i88814
 
7.9%
o88660
 
7.9%
s76920
 
6.8%
c49906
 
4.4%
p45851
 
4.1%
P32394
 
2.9%
Other values (24)228239
20.3%
ValueCountFrequency (%)
89604
73.1%
-25477
 
20.8%
,5582
 
4.6%
/1952
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1247195
100.0%

Most frequent character per block

ValueCountFrequency (%)
e152737
12.2%
t147710
11.8%
n119187
9.6%
r94162
 
7.5%
89604
 
7.2%
i88814
 
7.1%
o88660
 
7.1%
s76920
 
6.2%
c49906
 
4.0%
p45851
 
3.7%
Other values (28)293644
23.5%

Short Description
Categorical

HIGH CARDINALITY

Distinct16224
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
TC AGGREGATED ACTIVITIES
3303 
ADMINISTRATION AND OVERSIGHT
 
866
PROTECTION, ASSISTANCE AND SOLUTIONS
 
346
ADMINISTRATIVE COSTS
 
324
PEACE CORPS, FK NORWAY, PERSONNEL EXCHANGE
 
303
Other values (16219)
32971 

Length

Max length150
Median length42
Mean length52.82858867
Min length2

Characters and Unicode

Total characters2013456
Distinct characters76
Distinct categories15 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12764 ?
Unique (%)33.5%

Sample

1st row7KEN14710 DEEPENING PEACE
2nd row3KEN GOVERNANCE FOR DRR
3rd rowDROUGHT RESPONSE & RESILIENCE
4th rowGENERAL BUDGET SUPPORT (SEMI-AGGREGATES)
5th rowGENERAL BUDGET SUPPORT (SEMI-AGGREGATES)
ValueCountFrequency (%)
TC AGGREGATED ACTIVITIES3303
 
8.7%
ADMINISTRATION AND OVERSIGHT866
 
2.3%
PROTECTION, ASSISTANCE AND SOLUTIONS346
 
0.9%
ADMINISTRATIVE COSTS324
 
0.9%
PEACE CORPS, FK NORWAY, PERSONNEL EXCHANGE303
 
0.8%
CONTRIBUTIONS DES COMMUNES DU CANTON DE GEN+VE292
 
0.8%
HHS/CDC: UNSPECIFIED GRANTS210
 
0.6%
PROGRAM DESIGN AND LEARNING208
 
0.5%
HIV/AIDS - ASSISTANCE FOR HIV/AIDS169
 
0.4%
DIRECT AID PROGRAM (DAP) 2016-17137
 
0.4%
Other values (16214)31955
83.8%
Histogram of lengths of the category
ValueCountFrequency (%)
and11067
 
4.1%
8038
 
2.9%
of5697
 
2.1%
in5644
 
2.1%
for5530
 
2.0%
the4203
 
1.5%
de4141
 
1.5%
activities3533
 
1.3%
aggregated3342
 
1.2%
tc3304
 
1.2%
Other values (17437)218600
80.0%

Most occurring characters

ValueCountFrequency (%)
236041
11.7%
E185103
 
9.2%
A155398
 
7.7%
I152907
 
7.6%
N140616
 
7.0%
T137598
 
6.8%
R118417
 
5.9%
O118052
 
5.9%
S111460
 
5.5%
C85506
 
4.2%
Other values (66)572358
28.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter1689860
83.9%
Space Separator236041
 
11.7%
Decimal Number29914
 
1.5%
Other Punctuation22125
 
1.1%
Dash Punctuation12250
 
0.6%
Math Symbol9255
 
0.5%
Open Punctuation5043
 
0.3%
Close Punctuation4987
 
0.2%
Connector Punctuation3044
 
0.2%
Other Symbol496
 
< 0.1%
Other values (5)441
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
E185103
11.0%
A155398
 
9.2%
I152907
 
9.0%
N140616
 
8.3%
T137598
 
8.1%
R118417
 
7.0%
O118052
 
7.0%
S111460
 
6.6%
C85506
 
5.1%
D65255
 
3.9%
Other values (20)419548
24.8%
ValueCountFrequency (%)
,5892
26.6%
/3929
17.8%
:3786
17.1%
.3462
15.6%
'3446
15.6%
&1354
 
6.1%
;82
 
0.4%
?73
 
0.3%
!33
 
0.1%
*32
 
0.1%
Other values (3)36
 
0.2%
ValueCountFrequency (%)
27622
25.5%
17045
23.6%
06267
21.0%
72573
 
8.6%
31359
 
4.5%
51225
 
4.1%
41142
 
3.8%
61105
 
3.7%
8970
 
3.2%
9606
 
2.0%
ValueCountFrequency (%)
û266
85.8%
á20
 
6.5%
î16
 
5.2%
é4
 
1.3%
â2
 
0.6%
ÿ1
 
0.3%
ù1
 
0.3%
ValueCountFrequency (%)
+9253
> 99.9%
=1
 
< 0.1%
>1
 
< 0.1%
ValueCountFrequency (%)
(4981
98.8%
[62
 
1.2%
ValueCountFrequency (%)
)4934
98.9%
]53
 
1.1%
ValueCountFrequency (%)
`117
99.2%
¯1
 
0.8%
ValueCountFrequency (%)
236041
100.0%
ValueCountFrequency (%)
-12250
100.0%
ValueCountFrequency (%)
_3044
100.0%
ValueCountFrequency (%)
¦496
100.0%
ValueCountFrequency (%)
½7
100.0%
ValueCountFrequency (%)
$1
100.0%
ValueCountFrequency (%)
«5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1690170
83.9%
Common323286
 
16.1%

Most frequent character per script

ValueCountFrequency (%)
236041
73.0%
-12250
 
3.8%
+9253
 
2.9%
27622
 
2.4%
17045
 
2.2%
06267
 
1.9%
,5892
 
1.8%
(4981
 
1.5%
)4934
 
1.5%
/3929
 
1.2%
Other values (29)25072
 
7.8%
ValueCountFrequency (%)
E185103
11.0%
A155398
 
9.2%
I152907
 
9.0%
N140616
 
8.3%
T137598
 
8.1%
R118417
 
7.0%
O118052
 
7.0%
S111460
 
6.6%
C85506
 
5.1%
D65255
 
3.9%
Other values (27)419858
24.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII2012570
> 99.9%
None886
 
< 0.1%

Most frequent character per block

ValueCountFrequency (%)
236041
11.7%
E185103
 
9.2%
A155398
 
7.7%
I152907
 
7.6%
N140616
 
7.0%
T137598
 
6.8%
R118417
 
5.9%
O118052
 
5.9%
S111460
 
5.5%
C85506
 
4.2%
Other values (51)571472
28.4%
ValueCountFrequency (%)
¦496
56.0%
û266
30.0%
Ç52
 
5.9%
á20
 
2.3%
î16
 
1.8%
É13
 
1.5%
½7
 
0.8%
«5
 
0.6%
é4
 
0.5%
â2
 
0.2%
Other values (5)5
 
0.6%

Project title
Categorical

HIGH CARDINALITY
MISSING

Distinct16347
Distinct (%)43.6%
Missing654
Missing (%)1.7%
Memory size297.9 KiB
TC AGGREGATED ACTIVITIES
3303 
Administration and Oversight
 
866
Protection, Assistance and Solutions
 
346
Administrative costs
 
322
Peace Corps, FK Norway, personnel exchange
 
303
Other values (16342)
32319 

Length

Max length255
Median length42
Mean length54.53853547
Min length1

Characters and Unicode

Total characters2042959
Distinct characters109
Distinct categories15 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13052 ?
Unique (%)34.8%

Sample

1st row7KEN14710 Deepening Peace
2nd row3KEN Governance for DRR
3rd rowDrought Response & Resilience
4th rowGENERAL BUDGET SUPPORT (SEMI-AGGREGATES)
5th rowGENERAL BUDGET SUPPORT (SEMI-AGGREGATES)
ValueCountFrequency (%)
TC AGGREGATED ACTIVITIES3303
 
8.7%
Administration and Oversight866
 
2.3%
Protection, Assistance and Solutions346
 
0.9%
Administrative costs322
 
0.8%
Peace Corps, FK Norway, personnel exchange303
 
0.8%
Contributions des communes du Canton de GenFve292
 
0.8%
HHS/CDC: Unspecified Grants210
 
0.6%
Program Design and Learning208
 
0.5%
HIV/AIDS - Assistance for HIV/AIDS169
 
0.4%
Direct Aid Program (DAP) 2016-17137
 
0.4%
Other values (16337)31303
82.1%
(Missing)654
 
1.7%
Histogram of lengths of the category
ValueCountFrequency (%)
and10893
 
3.9%
7159
 
2.6%
of5855
 
2.1%
in5774
 
2.1%
for5530
 
2.0%
de4559
 
1.6%
the4282
 
1.5%
activities3535
 
1.3%
aggregated3342
 
1.2%
tc3305
 
1.2%
Other values (18078)223386
80.5%

Most occurring characters

ValueCountFrequency (%)
241199
 
11.8%
e156151
 
7.6%
n127964
 
6.3%
i123542
 
6.0%
a120433
 
5.9%
t111526
 
5.5%
o106037
 
5.2%
r99865
 
4.9%
s83236
 
4.1%
l54973
 
2.7%
Other values (99)818033
40.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1351836
66.2%
Uppercase Letter370675
 
18.1%
Space Separator241199
 
11.8%
Decimal Number30512
 
1.5%
Other Punctuation22638
 
1.1%
Dash Punctuation12107
 
0.6%
Open Punctuation5099
 
0.2%
Close Punctuation5018
 
0.2%
Connector Punctuation3039
 
0.1%
Math Symbol635
 
< 0.1%
Other values (5)201
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
e156151
11.6%
n127964
9.5%
i123542
 
9.1%
a120433
 
8.9%
t111526
 
8.2%
o106037
 
7.8%
r99865
 
7.4%
s83236
 
6.2%
l54973
 
4.1%
c53968
 
4.0%
Other values (25)314141
23.2%
ValueCountFrequency (%)
A38271
 
10.3%
T35761
 
9.6%
E32295
 
8.7%
C31939
 
8.6%
I31060
 
8.4%
S30122
 
8.1%
P20612
 
5.6%
R19570
 
5.3%
G17681
 
4.8%
D16161
 
4.4%
Other values (20)97203
26.2%
ValueCountFrequency (%)
,6182
27.3%
/3923
17.3%
:3771
16.7%
'3701
16.3%
.3519
15.5%
&1340
 
5.9%
?75
 
0.3%
!33
 
0.1%
*32
 
0.1%
;31
 
0.1%
Other values (4)31
 
0.1%
ValueCountFrequency (%)
27777
25.5%
17165
23.5%
06465
21.2%
72658
 
8.7%
31362
 
4.5%
51251
 
4.1%
41122
 
3.7%
61111
 
3.6%
8987
 
3.2%
9614
 
2.0%
ValueCountFrequency (%)
+575
90.6%
±26
 
4.1%
=24
 
3.8%
÷9
 
1.4%
>1
 
0.2%
ValueCountFrequency (%)
(5037
98.8%
[62
 
1.2%
ValueCountFrequency (%)
)4965
98.9%
]53
 
1.1%
ValueCountFrequency (%)
£20
95.2%
$1
 
4.8%
ValueCountFrequency (%)
¦30
60.0%
°20
40.0%
ValueCountFrequency (%)
`117
99.2%
¯1
 
0.8%
ValueCountFrequency (%)
241199
100.0%
ValueCountFrequency (%)
-12107
100.0%
ValueCountFrequency (%)
_3039
100.0%
ValueCountFrequency (%)
½7
100.0%
ValueCountFrequency (%)
«5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1722505
84.3%
Common320454
 
15.7%

Most frequent character per script

ValueCountFrequency (%)
e156151
 
9.1%
n127964
 
7.4%
i123542
 
7.2%
a120433
 
7.0%
t111526
 
6.5%
o106037
 
6.2%
r99865
 
5.8%
s83236
 
4.8%
l54973
 
3.2%
c53968
 
3.1%
Other values (54)684810
39.8%
ValueCountFrequency (%)
241199
75.3%
-12107
 
3.8%
27777
 
2.4%
17165
 
2.2%
06465
 
2.0%
,6182
 
1.9%
(5037
 
1.6%
)4965
 
1.5%
/3923
 
1.2%
:3771
 
1.2%
Other values (35)21863
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII2042440
> 99.9%
None519
 
< 0.1%

Most frequent character per block

ValueCountFrequency (%)
241199
 
11.8%
e156151
 
7.6%
n127964
 
6.3%
i123542
 
6.0%
a120433
 
5.9%
t111526
 
5.5%
o106037
 
5.2%
r99865
 
4.9%
s83236
 
4.1%
l54973
 
2.7%
Other values (77)817514
40.0%
ValueCountFrequency (%)
û280
53.9%
Ç52
 
10.0%
¦30
 
5.8%
á27
 
5.2%
±26
 
5.0%
£20
 
3.9%
°20
 
3.9%
É13
 
2.5%
÷9
 
1.7%
½7
 
1.3%
Other values (12)35
 
6.7%

Purpose Code
Real number (ℝ≥0)

HIGH CORRELATION

Distinct186
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29217.93044
Minimum11110
Maximum99820
Zeros0
Zeros (%)0.0%
Memory size297.9 KiB

Quantile statistics

Minimum11110
5-th percentile11220
Q112262
median15220
Q341020
95-th percentile91010
Maximum99820
Range88710
Interquartile range (IQR)28758

Descriptive statistics

Standard deviation23669.90093
Coefficient of variation (CV)0.8101155891
Kurtosis1.068871334
Mean29217.93044
Median Absolute Deviation (MAD)4000
Skewness1.467369454
Sum1113582983
Variance560264210.2
MonotocityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
430101836
 
4.8%
114201623
 
4.3%
910101561
 
4.1%
130401495
 
3.9%
720101374
 
3.6%
11220941
 
2.5%
12220931
 
2.4%
31120923
 
2.4%
15150834
 
2.2%
31110819
 
2.1%
Other values (176)25776
67.6%
ValueCountFrequency (%)
11110480
1.3%
11120761
2.0%
11130297
 
0.8%
1118221
 
0.1%
11220941
2.5%
ValueCountFrequency (%)
9982072
 
0.2%
99810385
 
1.0%
9301083
 
0.2%
910101561
4.1%
74020346
 
0.9%

Purpose Name
Categorical

HIGH CARDINALITY

Distinct186
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
Multisector aid
 
1836
Higher education
 
1623
Administrative costs (non-sector allocable)
 
1561
STD control including HIV/AIDS
 
1495
Material relief assistance and services
 
1374
Other values (181)
30224 

Length

Max length75
Median length28
Mean length30.07343951
Min length7

Characters and Unicode

Total characters1146189
Distinct characters53
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)< 0.1%

Sample

1st rowMulti-hazard response preparedness
2nd rowMulti-hazard response preparedness
3rd rowMulti-hazard response preparedness
4th rowGeneral budget support-related aid
5th rowGeneral budget support-related aid
ValueCountFrequency (%)
Multisector aid1836
 
4.8%
Higher education1623
 
4.3%
Administrative costs (non-sector allocable)1561
 
4.1%
STD control including HIV/AIDS1495
 
3.9%
Material relief assistance and services 1374
 
3.6%
Primary education941
 
2.5%
Basic health care931
 
2.4%
Agricultural development923
 
2.4%
Democratic participation and civil society834
 
2.2%
Agricultural policy and administrative management819
 
2.1%
Other values (176)25776
67.6%
Histogram of lengths of the category
ValueCountFrequency (%)
and13784
 
10.3%
administrative6477
 
4.8%
management5388
 
4.0%
policy5277
 
3.9%
education4492
 
3.4%
basic3424
 
2.6%
health3069
 
2.3%
services2878
 
2.2%
control2734
 
2.0%
agricultural2733
 
2.0%
Other values (286)83343
62.4%

Most occurring characters

ValueCountFrequency (%)
i109667
 
9.6%
a99590
 
8.7%
96943
 
8.5%
e95639
 
8.3%
n91166
 
8.0%
t84852
 
7.4%
r64196
 
5.6%
o63751
 
5.6%
c59562
 
5.2%
s57357
 
5.0%
Other values (43)323466
28.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter980180
85.5%
Space Separator96943
 
8.5%
Uppercase Letter55075
 
4.8%
Dash Punctuation5202
 
0.5%
Other Punctuation4119
 
0.4%
Open Punctuation2335
 
0.2%
Close Punctuation2335
 
0.2%

Most frequent character per category

ValueCountFrequency (%)
i109667
11.2%
a99590
10.2%
e95639
9.8%
n91166
9.3%
t84852
8.7%
r64196
 
6.5%
o63751
 
6.5%
c59562
 
6.1%
s57357
 
5.9%
l51899
 
5.3%
Other values (16)202501
20.7%
ValueCountFrequency (%)
A6556
11.9%
M5672
10.3%
S5406
9.8%
H4972
9.0%
E4407
8.0%
D4282
7.8%
I4248
7.7%
B3646
 
6.6%
P3616
 
6.6%
T2601
 
4.7%
Other values (10)9669
17.6%
ValueCountFrequency (%)
/3075
74.7%
,762
 
18.5%
'282
 
6.8%
ValueCountFrequency (%)
-5202
100.0%
ValueCountFrequency (%)
96943
100.0%
ValueCountFrequency (%)
(2335
100.0%
ValueCountFrequency (%)
)2335
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1035255
90.3%
Common110934
 
9.7%

Most frequent character per script

ValueCountFrequency (%)
i109667
10.6%
a99590
 
9.6%
e95639
 
9.2%
n91166
 
8.8%
t84852
 
8.2%
r64196
 
6.2%
o63751
 
6.2%
c59562
 
5.8%
s57357
 
5.5%
l51899
 
5.0%
Other values (36)257576
24.9%
ValueCountFrequency (%)
96943
87.4%
-5202
 
4.7%
/3075
 
2.8%
(2335
 
2.1%
)2335
 
2.1%
,762
 
0.7%
'282
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1146189
100.0%

Most frequent character per block

ValueCountFrequency (%)
i109667
 
9.6%
a99590
 
8.7%
96943
 
8.5%
e95639
 
8.3%
n91166
 
8.0%
t84852
 
7.4%
r64196
 
5.6%
o63751
 
5.6%
c59562
 
5.2%
s57357
 
5.0%
Other values (43)323466
28.2%

Sector
Categorical

HIGH CORRELATION

Distinct41
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
I.5.a. Government & Civil Society-general
4019 
I.2.b. Basic Health
3283 
III.1.a. Agriculture
3229 
IV.2. Other Multisector
2908 
VIII.1. Emergency Response
2849 
Other values (36)
21825 

Length

Max length57
Median length30
Mean length30.94936111
Min length16

Characters and Unicode

Total characters1179573
Distinct characters55
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowVIII.3. Disaster Prevention & Preparedness
2nd rowVIII.3. Disaster Prevention & Preparedness
3rd rowVIII.3. Disaster Prevention & Preparedness
4th rowVI.1. General Budget Support
5th rowVI.1. General Budget Support
ValueCountFrequency (%)
I.5.a. Government & Civil Society-general4019
 
10.5%
I.2.b. Basic Health3283
 
8.6%
III.1.a. Agriculture3229
 
8.5%
IV.2. Other Multisector2908
 
7.6%
VIII.1. Emergency Response2849
 
7.5%
I.3. Population Policies/Programmes & Reproductive Health2771
 
7.3%
I.6. Other Social Infrastructure & Services2042
 
5.4%
I.1.d. Post-Secondary Education1693
 
4.4%
I.4. Water Supply & Sanitation1627
 
4.3%
Administrative Costs of Donors1561
 
4.1%
Other values (31)12131
31.8%
Histogram of lengths of the category
ValueCountFrequency (%)
13785
 
9.4%
health7479
 
5.1%
education5360
 
3.6%
other5316
 
3.6%
basic4630
 
3.1%
civil4019
 
2.7%
society-general4019
 
2.7%
government4019
 
2.7%
i.5.a4019
 
2.7%
i.2.b3283
 
2.2%
Other values (112)91237
62.0%

Most occurring characters

ValueCountFrequency (%)
109053
 
9.2%
e102550
 
8.7%
.92732
 
7.9%
t67063
 
5.7%
i66583
 
5.6%
r62366
 
5.3%
a60648
 
5.1%
o57924
 
4.9%
I56911
 
4.8%
n56009
 
4.7%
Other values (45)447734
38.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter753960
63.9%
Uppercase Letter161374
 
13.7%
Other Punctuation113498
 
9.6%
Space Separator109053
 
9.2%
Decimal Number35965
 
3.0%
Dash Punctuation5723
 
0.5%

Most frequent character per category

ValueCountFrequency (%)
e102550
13.6%
t67063
8.9%
i66583
8.8%
r62366
8.3%
a60648
 
8.0%
o57924
 
7.7%
n56009
 
7.4%
c47388
 
6.3%
s40665
 
5.4%
l39360
 
5.2%
Other values (12)153404
20.3%
ValueCountFrequency (%)
I56911
35.3%
S15810
 
9.8%
P13432
 
8.3%
E10156
 
6.3%
V7977
 
4.9%
H7480
 
4.6%
C6827
 
4.2%
G6775
 
4.2%
R6607
 
4.1%
B5336
 
3.3%
Other values (11)24063
14.9%
ValueCountFrequency (%)
113542
37.7%
28996
25.0%
55253
 
14.6%
34248
 
11.8%
62042
 
5.7%
41884
 
5.2%
ValueCountFrequency (%)
.92732
81.7%
&13328
 
11.7%
,4210
 
3.7%
/3228
 
2.8%
ValueCountFrequency (%)
109053
100.0%
ValueCountFrequency (%)
-5723
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin915334
77.6%
Common264239
 
22.4%

Most frequent character per script

ValueCountFrequency (%)
e102550
 
11.2%
t67063
 
7.3%
i66583
 
7.3%
r62366
 
6.8%
a60648
 
6.6%
o57924
 
6.3%
I56911
 
6.2%
n56009
 
6.1%
c47388
 
5.2%
s40665
 
4.4%
Other values (33)297227
32.5%
ValueCountFrequency (%)
109053
41.3%
.92732
35.1%
113542
 
5.1%
&13328
 
5.0%
28996
 
3.4%
-5723
 
2.2%
55253
 
2.0%
34248
 
1.6%
,4210
 
1.6%
/3228
 
1.2%
Other values (2)3926
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1179573
100.0%

Most frequent character per block

ValueCountFrequency (%)
109053
 
9.2%
e102550
 
8.7%
.92732
 
7.9%
t67063
 
5.7%
i66583
 
5.6%
r62366
 
5.3%
a60648
 
5.1%
o57924
 
4.9%
I56911
 
4.8%
n56009
 
4.7%
Other values (45)447734
38.0%

Long Description
Categorical

HIGH CARDINALITY
MISSING

Distinct14502
Distinct (%)43.2%
Missing4534
Missing (%)11.9%
Memory size297.9 KiB
TC AGGREGATED ACTIVITIES
3303 
Supports the following illustrative program-funded costs: salaries of US, FSN, and TCN and other staff such as PSCs, RSSAs, PASAs, CASUs working for the US Government managing, administering, and supporting programs and their program-funded benefits such as housing, travel, transportation, education allowances etc; institutional contractors that provide such staff, rent, IT services, the program-funded share of utilities, staff training costs and the cost of developing and administering training programs, equipment and supplies, ICASS, vehicle fuel and maintenance, maintenance contracts, janitorial services, operational unit web page development and maintenance, outreach such as publications and the cost of their preparation (including staff costs), and technical assistance to ensure USG compliance with regulations.
 
887
Decentralised Development Cooperation
 
865
The provision of effective protection, assistance, and durable solutions for refugees, internally displaced persons (IDPs), and other victims of conflict and disasters.
 
381
Administrative costs
 
318
Other values (14497)
27825 

Length

Max length3000
Median length122
Mean length306.2483695
Min length1

Characters and Unicode

Total characters10283514
Distinct characters115
Distinct categories15 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12047 ?
Unique (%)35.9%

Sample

1st rowThe project was designed to contribute to Peacebuilding, Cohesion and Community Security in Kenya
2nd rowThe project is designed to contribute to Effective Governance for Disaster Risk Reduction at National and County levels. This will be achieved through strengthening institutional capacity, legislative and policy frameworks.
3rd rowDrought Response, Early Recovery and Resilience in arid and semi-arid counties of Kenya
4th rowCivil Society Programme Funding: Marginalised women and girls have increased access to and control over assets an d resources, and increase thei r participation in decision-ma king at all levels, while miti gating threats of gender based violence or intimidation.
5th rowCivil Society Programme Funding: Marginalised women and men facing violence have gr eater safety, security and res ilience, and inclusive peace b uilding initiatives contribute to lasting justice.
ValueCountFrequency (%)
TC AGGREGATED ACTIVITIES3303
 
8.7%
Supports the following illustrative program-funded costs: salaries of US, FSN, and TCN and other staff such as PSCs, RSSAs, PASAs, CASUs working for the US Government managing, administering, and supporting programs and their program-funded benefits such as housing, travel, transportation, education allowances etc; institutional contractors that provide such staff, rent, IT services, the program-funded share of utilities, staff training costs and the cost of developing and administering training programs, equipment and supplies, ICASS, vehicle fuel and maintenance, maintenance contracts, janitorial services, operational unit web page development and maintenance, outreach such as publications and the cost of their preparation (including staff costs), and technical assistance to ensure USG compliance with regulations.887
 
2.3%
Decentralised Development Cooperation865
 
2.3%
The provision of effective protection, assistance, and durable solutions for refugees, internally displaced persons (IDPs), and other victims of conflict and disasters.381
 
1.0%
Administrative costs318
 
0.8%
Develop and conduct needs assessments, baseline studies, targeted evaluations, special studies or other information-gathering efforts specifically for the design, monitoring and evaluation of USG-funded programs. This sub-element may also include developing and disseminating best practices and lessons learned, testing demonstration and/or pilot models, or the preparation of strategic plans and other short-term programming tasks. Note: All such activities that are carried out by partners as an integral part of their monitoring and evaluation efforts for programs funded under other sub-elements should be included within those sub-elements.230
 
0.6%
HHS/CDC: CDC210
 
0.6%
0184
 
0.5%
PEPFAR: Reduce the transmission and impact of HIV/AIDS through support for prevention, care and treatment programs. - Assistance for HIV/AIDS169
 
0.4%
The Direct Aid Program (DAP) is a small-grants scheme administered by the Department of Foreign Affairs & Trade (DFAT) through Australia's diplomatic posts in developing countries. DAP's objective is to advance developmental outcomes in ODA-eligible countries with projects primarily focussed on practical and tangible results. It supports Australia's wider foreign and trade policy interests and public diplomacy objectives. The total value of this multi-country initiative is $22 million expensed over the 2016-17 financial year.137
 
0.4%
Other values (14492)26895
70.6%
(Missing)4534
 
11.9%
Histogram of lengths of the category
ValueCountFrequency (%)
and77547
 
5.3%
the57124
 
3.9%
of42576
 
2.9%
to35222
 
2.4%
de25727
 
1.8%
in25203
 
1.7%
a17482
 
1.2%
for16310
 
1.1%
et14008
 
1.0%
la12873
 
0.9%
Other values (40217)1140935
77.9%

Most occurring characters

ValueCountFrequency (%)
1435649
14.0%
e952962
 
9.3%
a695859
 
6.8%
i694588
 
6.8%
n683270
 
6.6%
t676665
 
6.6%
o590862
 
5.7%
s553350
 
5.4%
r535532
 
5.2%
l356673
 
3.5%
Other values (105)3108104
30.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter8029577
78.1%
Space Separator1435649
 
14.0%
Uppercase Letter503974
 
4.9%
Other Punctuation178466
 
1.7%
Decimal Number60489
 
0.6%
Dash Punctuation29623
 
0.3%
Close Punctuation20775
 
0.2%
Open Punctuation17324
 
0.2%
Math Symbol5436
 
0.1%
Currency Symbol1139
 
< 0.1%
Other values (5)1062
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
e952962
11.9%
a695859
 
8.7%
i694588
 
8.7%
n683270
 
8.5%
t676665
 
8.4%
o590862
 
7.4%
s553350
 
6.9%
r535532
 
6.7%
l356673
 
4.4%
c333037
 
4.1%
Other values (27)1956779
24.4%
ValueCountFrequency (%)
T78081
15.5%
A51287
10.2%
S49021
 
9.7%
C39961
 
7.9%
I37450
 
7.4%
E30884
 
6.1%
D24109
 
4.8%
P24057
 
4.8%
G23195
 
4.6%
R20443
 
4.1%
Other values (20)125486
24.9%
ValueCountFrequency (%)
,85831
48.1%
.45155
25.3%
'19987
 
11.2%
;10082
 
5.6%
:9060
 
5.1%
/5670
 
3.2%
&983
 
0.6%
?807
 
0.5%
%436
 
0.2%
·332
 
0.2%
Other values (5)123
 
0.1%
ValueCountFrequency (%)
015148
25.0%
112855
21.3%
210594
17.5%
34850
 
8.0%
54038
 
6.7%
43564
 
5.9%
73249
 
5.4%
62938
 
4.9%
81680
 
2.8%
91573
 
2.6%
ValueCountFrequency (%)
=3922
72.1%
+760
 
14.0%
±656
 
12.1%
~39
 
0.7%
<19
 
0.3%
÷19
 
0.3%
>16
 
0.3%
¬5
 
0.1%
ValueCountFrequency (%)
(17033
98.3%
[291
 
1.7%
ValueCountFrequency (%)
)20484
98.6%
]291
 
1.4%
ValueCountFrequency (%)
$721
63.3%
£418
36.7%
ValueCountFrequency (%)
`60
93.8%
¯4
 
6.2%
ValueCountFrequency (%)
¦31
96.9%
°1
 
3.1%
ValueCountFrequency (%)
1435649
100.0%
ValueCountFrequency (%)
-29623
100.0%
ValueCountFrequency (%)
_896
100.0%
ValueCountFrequency (%)
½61
100.0%
ValueCountFrequency (%)
«9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8533551
83.0%
Common1749963
 
17.0%

Most frequent character per script

ValueCountFrequency (%)
e952962
 
11.2%
a695859
 
8.2%
i694588
 
8.1%
n683270
 
8.0%
t676665
 
7.9%
o590862
 
6.9%
s553350
 
6.5%
r535532
 
6.3%
l356673
 
4.2%
c333037
 
3.9%
Other values (57)2460753
28.8%
ValueCountFrequency (%)
1435649
82.0%
,85831
 
4.9%
.45155
 
2.6%
-29623
 
1.7%
)20484
 
1.2%
'19987
 
1.1%
(17033
 
1.0%
015148
 
0.9%
112855
 
0.7%
210594
 
0.6%
Other values (38)57604
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII10280010
> 99.9%
None3504
 
< 0.1%

Most frequent character per block

ValueCountFrequency (%)
1435649
14.0%
e952962
 
9.3%
a695859
 
6.8%
i694588
 
6.8%
n683270
 
6.6%
t676665
 
6.6%
o590862
 
5.7%
s553350
 
5.4%
r535532
 
5.2%
l356673
 
3.5%
Other values (79)3104600
30.2%
ValueCountFrequency (%)
ß1204
34.4%
±656
18.7%
£418
 
11.9%
û336
 
9.6%
·332
 
9.5%
ò200
 
5.7%
á70
 
2.0%
½61
 
1.7%
Ç58
 
1.7%
ù47
 
1.3%
Other values (16)122
 
3.5%

SDG Focus
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing38113
Missing (%)100.0%
Memory size297.9 KiB

Gender equality
Categorical

HIGH CORRELATION
MISSING

Distinct3
Distinct (%)< 0.1%
Missing7651
Missing (%)20.1%
Memory size297.9 KiB
0.0
16651 
1.0
11232 
2.0
2579 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters91386
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row1.0
4th row2.0
5th row1.0
ValueCountFrequency (%)
0.016651
43.7%
1.011232
29.5%
2.02579
 
6.8%
(Missing)7651
20.1%
Histogram of lengths of the category
ValueCountFrequency (%)
0.016651
54.7%
1.011232
36.9%
2.02579
 
8.5%

Most occurring characters

ValueCountFrequency (%)
047113
51.6%
.30462
33.3%
111232
 
12.3%
22579
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number60924
66.7%
Other Punctuation30462
33.3%

Most frequent character per category

ValueCountFrequency (%)
047113
77.3%
111232
 
18.4%
22579
 
4.2%
ValueCountFrequency (%)
.30462
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common91386
100.0%

Most frequent character per script

ValueCountFrequency (%)
047113
51.6%
.30462
33.3%
111232
 
12.3%
22579
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII91386
100.0%

Most frequent character per block

ValueCountFrequency (%)
047113
51.6%
.30462
33.3%
111232
 
12.3%
22579
 
2.8%

Environment
Categorical

HIGH CORRELATION
MISSING

Distinct3
Distinct (%)< 0.1%
Missing12288
Missing (%)32.2%
Memory size297.9 KiB
0.0
19577 
1.0
3855 
2.0
2393 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters77475
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row2.0
5th row1.0
ValueCountFrequency (%)
0.019577
51.4%
1.03855
 
10.1%
2.02393
 
6.3%
(Missing)12288
32.2%
Histogram of lengths of the category
ValueCountFrequency (%)
0.019577
75.8%
1.03855
 
14.9%
2.02393
 
9.3%

Most occurring characters

ValueCountFrequency (%)
045402
58.6%
.25825
33.3%
13855
 
5.0%
22393
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number51650
66.7%
Other Punctuation25825
33.3%

Most frequent character per category

ValueCountFrequency (%)
045402
87.9%
13855
 
7.5%
22393
 
4.6%
ValueCountFrequency (%)
.25825
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common77475
100.0%

Most frequent character per script

ValueCountFrequency (%)
045402
58.6%
.25825
33.3%
13855
 
5.0%
22393
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII77475
100.0%

Most frequent character per block

ValueCountFrequency (%)
045402
58.6%
.25825
33.3%
13855
 
5.0%
22393
 
3.1%

PDGG
Categorical

HIGH CORRELATION
MISSING

Distinct3
Distinct (%)< 0.1%
Missing12378
Missing (%)32.5%
Memory size297.9 KiB
0.0
17054 
2.0
4922 
1.0
3759 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters77205
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0
ValueCountFrequency (%)
0.017054
44.7%
2.04922
 
12.9%
1.03759
 
9.9%
(Missing)12378
32.5%
Histogram of lengths of the category
ValueCountFrequency (%)
0.017054
66.3%
2.04922
 
19.1%
1.03759
 
14.6%

Most occurring characters

ValueCountFrequency (%)
042789
55.4%
.25735
33.3%
24922
 
6.4%
13759
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number51470
66.7%
Other Punctuation25735
33.3%

Most frequent character per category

ValueCountFrequency (%)
042789
83.1%
24922
 
9.6%
13759
 
7.3%
ValueCountFrequency (%)
.25735
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common77205
100.0%

Most frequent character per script

ValueCountFrequency (%)
042789
55.4%
.25735
33.3%
24922
 
6.4%
13759
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII77205
100.0%

Most frequent character per block

ValueCountFrequency (%)
042789
55.4%
.25735
33.3%
24922
 
6.4%
13759
 
4.9%

Trade Development
Categorical

HIGH CORRELATION
MISSING

Distinct3
Distinct (%)< 0.1%
Missing17339
Missing (%)45.5%
Memory size297.9 KiB
0.0
19171 
1.0
 
847
2.0
 
756

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters62322
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row1.0
ValueCountFrequency (%)
0.019171
50.3%
1.0847
 
2.2%
2.0756
 
2.0%
(Missing)17339
45.5%
Histogram of lengths of the category
ValueCountFrequency (%)
0.019171
92.3%
1.0847
 
4.1%
2.0756
 
3.6%

Most occurring characters

ValueCountFrequency (%)
039945
64.1%
.20774
33.3%
1847
 
1.4%
2756
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number41548
66.7%
Other Punctuation20774
33.3%

Most frequent character per category

ValueCountFrequency (%)
039945
96.1%
1847
 
2.0%
2756
 
1.8%
ValueCountFrequency (%)
.20774
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common62322
100.0%

Most frequent character per script

ValueCountFrequency (%)
039945
64.1%
.20774
33.3%
1847
 
1.4%
2756
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII62322
100.0%

Most frequent character per block

ValueCountFrequency (%)
039945
64.1%
.20774
33.3%
1847
 
1.4%
2756
 
1.2%

RMNCH
Categorical

HIGH CORRELATION
MISSING

Distinct5
Distinct (%)< 0.1%
Missing14440
Missing (%)37.9%
Memory size297.9 KiB
0.0
20829 
1.0
 
1120
2.0
 
983
4.0
 
685
3.0
 
56

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters71019
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row4.0
3rd row0.0
4th row1.0
5th row0.0
ValueCountFrequency (%)
0.020829
54.7%
1.01120
 
2.9%
2.0983
 
2.6%
4.0685
 
1.8%
3.056
 
0.1%
(Missing)14440
37.9%
Histogram of lengths of the category
ValueCountFrequency (%)
0.020829
88.0%
1.01120
 
4.7%
2.0983
 
4.2%
4.0685
 
2.9%
3.056
 
0.2%

Most occurring characters

ValueCountFrequency (%)
044502
62.7%
.23673
33.3%
11120
 
1.6%
2983
 
1.4%
4685
 
1.0%
356
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number47346
66.7%
Other Punctuation23673
33.3%

Most frequent character per category

ValueCountFrequency (%)
044502
94.0%
11120
 
2.4%
2983
 
2.1%
4685
 
1.4%
356
 
0.1%
ValueCountFrequency (%)
.23673
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common71019
100.0%

Most frequent character per script

ValueCountFrequency (%)
044502
62.7%
.23673
33.3%
11120
 
1.6%
2983
 
1.4%
4685
 
1.0%
356
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII71019
100.0%

Most frequent character per block

ValueCountFrequency (%)
044502
62.7%
.23673
33.3%
11120
 
1.6%
2983
 
1.4%
4685
 
1.0%
356
 
0.1%

DRR
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing38113
Missing (%)100.0%
Memory size297.9 KiB

Nutrition
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing38113
Missing (%)100.0%
Memory size297.9 KiB

Disability
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing38113
Missing (%)100.0%
Memory size297.9 KiB

Biodiversity
Categorical

HIGH CORRELATION
MISSING

Distinct3
Distinct (%)< 0.1%
Missing12865
Missing (%)33.8%
Memory size297.9 KiB
0.0
23094 
1.0
 
1168
2.0
 
986

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters75744
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.023094
60.6%
1.01168
 
3.1%
2.0986
 
2.6%
(Missing)12865
33.8%
Histogram of lengths of the category
ValueCountFrequency (%)
0.023094
91.5%
1.01168
 
4.6%
2.0986
 
3.9%

Most occurring characters

ValueCountFrequency (%)
048342
63.8%
.25248
33.3%
11168
 
1.5%
2986
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number50496
66.7%
Other Punctuation25248
33.3%

Most frequent character per category

ValueCountFrequency (%)
048342
95.7%
11168
 
2.3%
2986
 
2.0%
ValueCountFrequency (%)
.25248
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common75744
100.0%

Most frequent character per script

ValueCountFrequency (%)
048342
63.8%
.25248
33.3%
11168
 
1.5%
2986
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII75744
100.0%

Most frequent character per block

ValueCountFrequency (%)
048342
63.8%
.25248
33.3%
11168
 
1.5%
2986
 
1.3%

Climate Mitigation
Categorical

HIGH CORRELATION
MISSING

Distinct3
Distinct (%)< 0.1%
Missing11323
Missing (%)29.7%
Memory size297.9 KiB
0.0
24869 
1.0
 
1164
2.0
 
757

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters80370
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.024869
65.3%
1.01164
 
3.1%
2.0757
 
2.0%
(Missing)11323
29.7%
Histogram of lengths of the category
ValueCountFrequency (%)
0.024869
92.8%
1.01164
 
4.3%
2.0757
 
2.8%

Most occurring characters

ValueCountFrequency (%)
051659
64.3%
.26790
33.3%
11164
 
1.4%
2757
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number53580
66.7%
Other Punctuation26790
33.3%

Most frequent character per category

ValueCountFrequency (%)
051659
96.4%
11164
 
2.2%
2757
 
1.4%
ValueCountFrequency (%)
.26790
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common80370
100.0%

Most frequent character per script

ValueCountFrequency (%)
051659
64.3%
.26790
33.3%
11164
 
1.4%
2757
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII80370
100.0%

Most frequent character per block

ValueCountFrequency (%)
051659
64.3%
.26790
33.3%
11164
 
1.4%
2757
 
0.9%

Climate Adaptation
Categorical

HIGH CORRELATION
MISSING

Distinct3
Distinct (%)< 0.1%
Missing11155
Missing (%)29.3%
Memory size297.9 KiB
0.0
23852 
1.0
 
2200
2.0
 
906

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters80874
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row1.0
4th row2.0
5th row1.0
ValueCountFrequency (%)
0.023852
62.6%
1.02200
 
5.8%
2.0906
 
2.4%
(Missing)11155
29.3%
Histogram of lengths of the category
ValueCountFrequency (%)
0.023852
88.5%
1.02200
 
8.2%
2.0906
 
3.4%

Most occurring characters

ValueCountFrequency (%)
050810
62.8%
.26958
33.3%
12200
 
2.7%
2906
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number53916
66.7%
Other Punctuation26958
33.3%

Most frequent character per category

ValueCountFrequency (%)
050810
94.2%
12200
 
4.1%
2906
 
1.7%
ValueCountFrequency (%)
.26958
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common80874
100.0%

Most frequent character per script

ValueCountFrequency (%)
050810
62.8%
.26958
33.3%
12200
 
2.7%
2906
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII80874
100.0%

Most frequent character per block

ValueCountFrequency (%)
050810
62.8%
.26958
33.3%
12200
 
2.7%
2906
 
1.1%

Desertification
Categorical

HIGH CORRELATION
MISSING

Distinct3
Distinct (%)< 0.1%
Missing20731
Missing (%)54.4%
Memory size297.9 KiB
0.0
16287 
1.0
 
822
2.0
 
273

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters52146
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.016287
42.7%
1.0822
 
2.2%
2.0273
 
0.7%
(Missing)20731
54.4%
Histogram of lengths of the category
ValueCountFrequency (%)
0.016287
93.7%
1.0822
 
4.7%
2.0273
 
1.6%

Most occurring characters

ValueCountFrequency (%)
033669
64.6%
.17382
33.3%
1822
 
1.6%
2273
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number34764
66.7%
Other Punctuation17382
33.3%

Most frequent character per category

ValueCountFrequency (%)
033669
96.9%
1822
 
2.4%
2273
 
0.8%
ValueCountFrequency (%)
.17382
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common52146
100.0%

Most frequent character per script

ValueCountFrequency (%)
033669
64.6%
.17382
33.3%
1822
 
1.6%
2273
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII52146
100.0%

Most frequent character per block

ValueCountFrequency (%)
033669
64.6%
.17382
33.3%
1822
 
1.6%
2273
 
0.5%

Amount
Real number (ℝ)

HIGH CORRELATION
SKEWED

Distinct15313
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.473140572
Minimum-0.0766
Maximum600
Zeros0
Zeros (%)0.0%
Memory size297.9 KiB

Quantile statistics

Minimum-0.0766
5-th percentile0.00113
Q10.012728603
median0.072
Q30.4
95-th percentile5
Maximum600
Range600.0766
Interquartile range (IQR)0.387271397

Descriptive statistics

Standard deviation9.457198775
Coefficient of variation (CV)6.419753114
Kurtosis824.9318405
Mean1.473140572
Median Absolute Deviation (MAD)0.06896
Skewness22.36050163
Sum56145.80662
Variance89.43860866
MonotocityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00113229
 
0.6%
0.00225217
 
0.6%
0.00338168
 
0.4%
0.0113165
 
0.4%
0.5165
 
0.4%
1161
 
0.4%
0.00451153
 
0.4%
0.00564145
 
0.4%
0.001123
 
0.3%
0.0169118
 
0.3%
Other values (15303)36469
95.7%
ValueCountFrequency (%)
-0.07661
< 0.1%
3.18 × 10241
< 0.1%
6.92 × 10241
< 0.1%
3.17 × 10231
< 0.1%
3.26 × 10231
< 0.1%
ValueCountFrequency (%)
6001
< 0.1%
403.03753421
< 0.1%
3601
< 0.1%
320.84996881
< 0.1%
309.99887271
< 0.1%

Amount Type
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
Constant Prices (2017 USD millions)
38113 

Length

Max length35
Median length35
Mean length35
Min length35

Characters and Unicode

Total characters1333955
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowConstant Prices (2017 USD millions)
2nd rowConstant Prices (2017 USD millions)
3rd rowConstant Prices (2017 USD millions)
4th rowConstant Prices (2017 USD millions)
5th rowConstant Prices (2017 USD millions)
ValueCountFrequency (%)
Constant Prices (2017 USD millions)38113
100.0%
Histogram of lengths of the category
ValueCountFrequency (%)
usd38113
20.0%
millions38113
20.0%
constant38113
20.0%
201738113
20.0%
prices38113
20.0%

Most occurring characters

ValueCountFrequency (%)
152452
 
11.4%
n114339
 
8.6%
s114339
 
8.6%
i114339
 
8.6%
o76226
 
5.7%
t76226
 
5.7%
l76226
 
5.7%
C38113
 
2.9%
a38113
 
2.9%
P38113
 
2.9%
Other values (13)495469
37.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter762260
57.1%
Uppercase Letter190565
 
14.3%
Space Separator152452
 
11.4%
Decimal Number152452
 
11.4%
Open Punctuation38113
 
2.9%
Close Punctuation38113
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
n114339
15.0%
s114339
15.0%
i114339
15.0%
o76226
10.0%
t76226
10.0%
l76226
10.0%
a38113
 
5.0%
r38113
 
5.0%
c38113
 
5.0%
e38113
 
5.0%
ValueCountFrequency (%)
C38113
20.0%
P38113
20.0%
U38113
20.0%
S38113
20.0%
D38113
20.0%
ValueCountFrequency (%)
238113
25.0%
038113
25.0%
138113
25.0%
738113
25.0%
ValueCountFrequency (%)
152452
100.0%
ValueCountFrequency (%)
(38113
100.0%
ValueCountFrequency (%)
)38113
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin952825
71.4%
Common381130
 
28.6%

Most frequent character per script

ValueCountFrequency (%)
n114339
12.0%
s114339
12.0%
i114339
12.0%
o76226
 
8.0%
t76226
 
8.0%
l76226
 
8.0%
C38113
 
4.0%
a38113
 
4.0%
P38113
 
4.0%
r38113
 
4.0%
Other values (6)228678
24.0%
ValueCountFrequency (%)
152452
40.0%
(38113
 
10.0%
238113
 
10.0%
038113
 
10.0%
138113
 
10.0%
738113
 
10.0%
)38113
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1333955
100.0%

Most frequent character per block

ValueCountFrequency (%)
152452
 
11.4%
n114339
 
8.6%
s114339
 
8.6%
i114339
 
8.6%
o76226
 
5.7%
t76226
 
5.7%
l76226
 
5.7%
C38113
 
2.9%
a38113
 
2.9%
P38113
 
2.9%
Other values (13)495469
37.1%

Amount Tied USD million
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct2583
Distinct (%)18.1%
Missing23830
Missing (%)62.5%
Infinite0
Infinite (%)0.0%
Mean0.319447126
Minimum0
Maximum131.43
Zeros8731
Zeros (%)22.9%
Memory size297.9 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02985
95-th percentile0.87123
Maximum131.43
Range131.43
Interquartile range (IQR)0.02985

Descriptive statistics

Standard deviation2.752787645
Coefficient of variation (CV)8.617349856
Kurtosis914.8547048
Mean0.319447126
Median Absolute Deviation (MAD)0
Skewness25.85018859
Sum4562.6633
Variance7.577839817
MonotocityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
08731
 
22.9%
0.036948
 
0.1%
0.029744
 
0.1%
0.538
 
0.1%
0.000131
 
0.1%
0.00229
 
0.1%
129
 
0.1%
0.000229
 
0.1%
0.000429
 
0.1%
0.127
 
0.1%
Other values (2573)5248
 
13.8%
(Missing)23830
62.5%
ValueCountFrequency (%)
08731
22.9%
0.000131
 
0.1%
0.000229
 
0.1%
0.000315
 
< 0.1%
0.000429
 
0.1%
ValueCountFrequency (%)
131.431
< 0.1%
124.71
< 0.1%
86.87811
< 0.1%
73.11061
< 0.1%
731
< 0.1%

Amount Untied USD million
Real number (ℝ)

HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct6080
Distinct (%)26.1%
Missing14848
Missing (%)39.0%
Infinite0
Infinite (%)0.0%
Mean1.188732362
Minimum-0.0766
Maximum403.0375
Zeros2626
Zeros (%)6.9%
Memory size297.9 KiB

Quantile statistics

Minimum-0.0766
5-th percentile0
Q10.0068
median0.0593
Q30.3946
95-th percentile4.19888
Maximum403.0375
Range403.1141
Interquartile range (IQR)0.3878

Descriptive statistics

Standard deviation7.290703853
Coefficient of variation (CV)6.13317521
Kurtosis788.1072624
Mean1.188732362
Median Absolute Deviation (MAD)0.0593
Skewness22.3526214
Sum27655.8584
Variance53.15436268
MonotocityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02626
 
6.9%
0.0023227
 
0.6%
0.0011225
 
0.6%
0.0034187
 
0.5%
0.0056159
 
0.4%
0.0045151
 
0.4%
0.001135
 
0.4%
0.0113133
 
0.3%
0.0051120
 
0.3%
1110
 
0.3%
Other values (6070)19192
50.4%
(Missing)14848
39.0%
ValueCountFrequency (%)
-0.07661
 
< 0.1%
02626
6.9%
0.000158
 
0.2%
0.000268
 
0.2%
0.000357
 
0.1%
ValueCountFrequency (%)
403.03751
< 0.1%
309.99891
< 0.1%
255.04451
< 0.1%
225.45371
< 0.1%
213.09991
< 0.1%

Amount Partially Untied USD million
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct23
Distinct (%)0.3%
Missing30563
Missing (%)80.2%
Infinite0
Infinite (%)0.0%
Mean0.05001716556
Minimum0
Maximum138.654
Zeros7523
Zeros (%)19.7%
Memory size297.9 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum138.654
Range138.654
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.945819562
Coefficient of variation (CV)38.90303539
Kurtosis3709.775871
Mean0.05001716556
Median Absolute Deviation (MAD)0
Skewness57.0537557
Sum377.6296
Variance3.786213767
MonotocityNot monotonic
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
07523
 
19.7%
0.48783
 
< 0.1%
16.9092
 
< 0.1%
3.38182
 
< 0.1%
0.24392
 
< 0.1%
138.6541
 
< 0.1%
9.58181
 
< 0.1%
29.87261
 
< 0.1%
2.25451
 
< 0.1%
33.81811
 
< 0.1%
Other values (13)13
 
< 0.1%
(Missing)30563
80.2%
ValueCountFrequency (%)
07523
19.7%
0.00041
 
< 0.1%
0.02821
 
< 0.1%
0.05571
 
< 0.1%
0.06721
 
< 0.1%
ValueCountFrequency (%)
138.6541
< 0.1%
73.27251
< 0.1%
34.38171
< 0.1%
33.81811
< 0.1%
29.87261
< 0.1%

Nature of Submission
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size297.9 KiB
1
23443 
8
12069 
3
2601 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters38113
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row3
5th row3
ValueCountFrequency (%)
123443
61.5%
812069
31.7%
32601
 
6.8%
Histogram of lengths of the category
ValueCountFrequency (%)
123443
61.5%
812069
31.7%
32601
 
6.8%

Most occurring characters

ValueCountFrequency (%)
123443
61.5%
812069
31.7%
32601
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number38113
100.0%

Most frequent character per category

ValueCountFrequency (%)
123443
61.5%
812069
31.7%
32601
 
6.8%

Most occurring scripts

ValueCountFrequency (%)
Common38113
100.0%

Most frequent character per script

ValueCountFrequency (%)
123443
61.5%
812069
31.7%
32601
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII38113
100.0%

Most frequent character per block

ValueCountFrequency (%)
123443
61.5%
812069
31.7%
32601
 
6.8%

Value
Real number (ℝ)

HIGH CORRELATION
SKEWED

Distinct23556
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.473140506
Minimum-0.076641867
Maximum600
Zeros0
Zeros (%)0.0%
Memory size297.9 KiB

Quantile statistics

Minimum-0.076641867
5-th percentile0.001127269
Q10.012739921
median0.072
Q30.4
95-th percentile5
Maximum600
Range600.0766419
Interquartile range (IQR)0.387260079

Descriptive statistics

Standard deviation9.457198785
Coefficient of variation (CV)6.419753409
Kurtosis824.9318376
Mean1.473140506
Median Absolute Deviation (MAD)0.068956375
Skewness22.36050158
Sum56145.8041
Variance89.43860885
MonotocityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.001127269220
 
0.6%
0.002254537206
 
0.5%
0.5165
 
0.4%
0.003381806164
 
0.4%
1161
 
0.4%
0.004509075146
 
0.4%
0.005636343128
 
0.3%
0.001122
 
0.3%
0.011272686116
 
0.3%
0.3110
 
0.3%
Other values (23546)36575
96.0%
ValueCountFrequency (%)
-0.0766418671
< 0.1%
3.18 × 10241
< 0.1%
6.92 × 10241
< 0.1%
3.17 × 10231
< 0.1%
3.26 × 10231
< 0.1%
ValueCountFrequency (%)
6001
< 0.1%
403.03753421
< 0.1%
3601
< 0.1%
320.84996881
< 0.1%
309.99887271
< 0.1%

Interactions

Correlations

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

DONORRECIPIENTSECTORFLOWCHANNELAMOUNTTYPEFLOWTYPEAIDTYPEYEARDonor NameDonor AgencyOECD IDDonor Project IDRecipient NameRegionIncome GroupChannel of Delivery CodeChannel of Delivery NameCategory CodeCategory NameFinanceType CodeFinanceType NameBiMulti CodeType of Aid CodeType of Aid NameShort DescriptionProject titlePurpose CodePurpose NameSectorLong DescriptionSDG FocusGender equalityEnvironmentPDGGTrade DevelopmentRMNCHDRRNutritionDisabilityBiodiversityClimate MitigationClimate AdaptationDesertificationAmountAmount TypeAmount Tied USD millionAmount Untied USD millionAmount Partially Untied USD millionNature of SubmissionValue
095924874020110D115C012017UNDPUNDP201700142590771KenyaSouth of SaharaLMICs0NaN10ODA110Standard grant4C01Project-type interventions7KEN14710 DEEPENING PEACE7KEN14710 Deepening Peace74020Multi-hazard response preparednessVIII.3. Disaster Prevention & PreparednessThe project was designed to contribute to Peacebuilding, Cohesion and Community Security in KenyaNaN0.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.048700Constant Prices (2017 USD millions)NaNNaNNaN10.048654
195924874020110D115C012017UNDPUNDP201700129989430KenyaSouth of SaharaLMICs0NaN10ODA110Standard grant4C01Project-type interventions3KEN GOVERNANCE FOR DRR3KEN Governance for DRR74020Multi-hazard response preparednessVIII.3. Disaster Prevention & PreparednessThe project is designed to contribute to Effective Governance for Disaster Risk Reduction at National and County levels. This will be achieved through strengthening institutional capacity, legislative and policy frameworks.NaN1.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.137405Constant Prices (2017 USD millions)NaNNaNNaN10.137405
295924874020110D115C012017UNDPUNDP2017002535105530KenyaSouth of SaharaLMICs0NaN10ODA110Standard grant4C01Project-type interventionsDROUGHT RESPONSE & RESILIENCEDrought Response & Resilience74020Multi-hazard response preparednessVIII.3. Disaster Prevention & PreparednessDrought Response, Early Recovery and Resilience in arid and semi-arid counties of KenyaNaN1.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.347220Constant Prices (2017 USD millions)NaNNaNNaN10.347220
395823651010130D115A012017IMF (Concessional Trust Funds)IMF concessional2017000014NaNBeninSouth of SaharaLDCs0NaN10ODA421Standard loan4A01General budget supportGENERAL BUDGET SUPPORT (SEMI-AGGREGATES)GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)51010General budget support-related aidVI.1. General Budget SupportNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN44.138666Constant Prices (2017 USD millions)NaNNaNNaN344.138666
495828751010130D115A012017IMF (Concessional Trust Funds)IMF concessional2017000025NaNBurkina FasoSouth of SaharaLDCs0NaN10ODA421Standard loan4A01General budget supportGENERAL BUDGET SUPPORT (SEMI-AGGREGATES)GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)51010General budget support-related aidVI.1. General Budget SupportNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN6.197771Constant Prices (2017 USD millions)NaNNaNNaN36.197771
595823251010130D115A012017IMF (Concessional Trust Funds)IMF concessional2017000019NaNChadSouth of SaharaLDCs0NaN10ODA421Standard loan4A01General budget supportGENERAL BUDGET SUPPORT (SEMI-AGGREGATES)GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)51010General budget support-related aidVI.1. General Budget SupportNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN48.597733Constant Prices (2017 USD millions)NaNNaNNaN348.597733
695824751010130D115A012017IMF (Concessional Trust Funds)IMF concessional2017000002NaNC(te d'IvoireSouth of SaharaLMICs0NaN10ODA421Standard loan4A01General budget supportGENERAL BUDGET SUPPORT (SEMI-AGGREGATES)GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)51010General budget support-related aidVI.1. General Budget SupportNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN89.464198Constant Prices (2017 USD millions)NaNNaNNaN389.464198
795824151010130D115A012017IMF (Concessional Trust Funds)IMF concessional2017000003NaNGhanaSouth of SaharaLMICs0NaN10ODA421Standard loan4A01General budget supportGENERAL BUDGET SUPPORT (SEMI-AGGREGATES)GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)51010General budget support-related aidVI.1. General Budget SupportNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN92.093051Constant Prices (2017 USD millions)NaNNaNNaN392.093051
895824351010130D115A012017IMF (Concessional Trust Funds)IMF concessional2017000027NaNGuineaSouth of SaharaLDCs0NaN10ODA421Standard loan4A01General budget supportGENERAL BUDGET SUPPORT (SEMI-AGGREGATES)GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)51010General budget support-related aidVI.1. General Budget SupportNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN23.862111Constant Prices (2017 USD millions)NaNNaNNaN323.862111
995824451010130D115A012017IMF (Concessional Trust Funds)IMF concessional2017000036NaNGuinea-BissauSouth of SaharaLDCs0NaN10ODA421Standard loan4A01General budget supportGENERAL BUDGET SUPPORT (SEMI-AGGREGATES)GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)51010General budget support-related aidVI.1. General Budget SupportNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN8.402347Constant Prices (2017 USD millions)NaNNaNNaN38.402347

Last rows

DONORRECIPIENTSECTORFLOWCHANNELAMOUNTTYPEFLOWTYPEAIDTYPEYEARDonor NameDonor AgencyOECD IDDonor Project IDRecipient NameRegionIncome GroupChannel of Delivery CodeChannel of Delivery NameCategory CodeCategory NameFinanceType CodeFinanceType NameBiMulti CodeType of Aid CodeType of Aid NameShort DescriptionProject titlePurpose CodePurpose NameSectorLong DescriptionSDG FocusGender equalityEnvironmentPDGGTrade DevelopmentRMNCHDRRNutritionDisabilityBiodiversityClimate MitigationClimate AdaptationDesertificationAmountAmount TypeAmount Tied USD millionAmount Untied USD millionAmount Partially Untied USD millionNature of SubmissionValue
38103302269910101110000D115G012017United StatesAgency for International Development2017016115A76_39053SenegalSouth of SaharaLDCs10000Central Government10ODA110Standard grant1G01Administrative costs not included elsewherePROGRAM DESIGN AND LEARNINGProgram Design and Learning91010Administrative costs (non-sector allocable)Administrative Costs of DonorsDevelop and conduct needs assessments, baseline studies, targeted evaluations, special studies or other information-gathering efforts specifically for the design, monitoring and evaluation of USG-funded programs. This sub-element may also include developing and disseminating best practices and lessons learned, testing demonstration and/or pilot models, or the preparation of strategic plans and other short-term programming tasks. Note: All such activities that are carried out by partners as an integral part of their monitoring and evaluation efforts for programs funded under other sub-elements should be included within those sub-elements.NaN0.00.00.00.00.0NaNNaNNaN0.00.00.0NaN0.01112Constant Prices (2017 USD millions)NaNNaNNaN10.01112
38104302269910101110000D115G012017United StatesAgency for International Development2017016115B76_39053SenegalSouth of SaharaLDCs10000Central Government10ODA110Standard grant1G01Administrative costs not included elsewherePROGRAM DESIGN AND LEARNINGProgram Design and Learning91010Administrative costs (non-sector allocable)Administrative Costs of DonorsDevelop and conduct needs assessments, baseline studies, targeted evaluations, special studies or other information-gathering efforts specifically for the design, monitoring and evaluation of USG-funded programs. This sub-element may also include developing and disseminating best practices and lessons learned, testing demonstration and/or pilot models, or the preparation of strategic plans and other short-term programming tasks. Note: All such activities that are carried out by partners as an integral part of their monitoring and evaluation efforts for programs funded under other sub-elements should be included within those sub-elements.NaN0.00.00.00.00.0NaNNaNNaN0.00.00.0NaN0.00500Constant Prices (2017 USD millions)NaNNaNNaN10.00500
38105302269910101110000D115G012017United StatesAgency for International Development2017014987A76_36606SenegalSouth of SaharaLDCs10000Central Government10ODA110Standard grant1G01Administrative costs not included elsewhereADMINISTRATION AND OVERSIGHTAdministration and Oversight91010Administrative costs (non-sector allocable)Administrative Costs of DonorsSupports the following illustrative program-funded costs: salaries of US, FSN, and TCN and other staff such as PSCs, RSSAs, PASAs, CASUs working for the US Government managing, administering, and supporting programs and their program-funded benefits such as housing, travel, transportation, education allowances etc; institutional contractors that provide such staff, rent, IT services, the program-funded share of utilities, staff training costs and the cost of developing and administering training programs, equipment and supplies, ICASS, vehicle fuel and maintenance, maintenance contracts, janitorial services, operational unit web page development and maintenance, outreach such as publications and the cost of their preparation (including staff costs), and technical assistance to ensure USG compliance with regulations.NaN0.00.00.00.00.0NaNNaNNaN0.00.00.0NaN0.47459Constant Prices (2017 USD millions)NaNNaNNaN10.47459
38106302269910101110000D115G012017United StatesAgency for International Development201701114876_11672SenegalSouth of SaharaLDCs10000Central Government10ODA110Standard grant1G01Administrative costs not included elsewhereADMINISTRATIVE COSTSAdministrative costs91010Administrative costs (non-sector allocable)Administrative Costs of DonorsAdministrative costsNaN0.00.00.00.00.0NaNNaNNaN0.00.00.0NaN14.23587Constant Prices (2017 USD millions)NaNNaNNaN114.23587
38107302269910101110000D115G012017United StatesAgency for International Development2017014852E76_36603SenegalSouth of SaharaLDCs10000Central Government10ODA110Standard grant1G01Administrative costs not included elsewhereADMINISTRATION AND OVERSIGHTAdministration and Oversight91010Administrative costs (non-sector allocable)Administrative Costs of DonorsSupports the following illustrative program-funded costs: salaries of US, FSN, and TCN and other staff such as PSCs, RSSAs, PASAs, CASUs working for the US Government managing, administering, and supporting programs and their program-funded benefits such as housing, travel, transportation, education allowances etc; institutional contractors that provide such staff, rent, IT services, the program-funded share of utilities, staff training costs and the cost of developing and administering training programs, equipment and supplies, ICASS, vehicle fuel and maintenance, maintenance contracts, janitorial services, operational unit web page development and maintenance, outreach such as publications and the cost of their preparation (including staff costs), and technical assistance to ensure USG compliance with regulations.NaN0.00.00.00.00.0NaNNaNNaN0.00.00.0NaN0.60330Constant Prices (2017 USD millions)NaNNaNNaN10.60330
38108302269910101110000D115G012017United StatesAgency for International Development2017014852A76_36603SenegalSouth of SaharaLDCs10000Central Government10ODA110Standard grant1G01Administrative costs not included elsewhereADMINISTRATION AND OVERSIGHTAdministration and Oversight91010Administrative costs (non-sector allocable)Administrative Costs of DonorsSupports the following illustrative program-funded costs: salaries of US, FSN, and TCN and other staff such as PSCs, RSSAs, PASAs, CASUs working for the US Government managing, administering, and supporting programs and their program-funded benefits such as housing, travel, transportation, education allowances etc; institutional contractors that provide such staff, rent, IT services, the program-funded share of utilities, staff training costs and the cost of developing and administering training programs, equipment and supplies, ICASS, vehicle fuel and maintenance, maintenance contracts, janitorial services, operational unit web page development and maintenance, outreach such as publications and the cost of their preparation (including staff costs), and technical assistance to ensure USG compliance with regulations.NaN0.00.00.00.00.0NaNNaNNaN0.00.00.0NaN0.02000Constant Prices (2017 USD millions)NaNNaNNaN10.02000
38109302269910101110000D115G012017United StatesAgency for International Development2017014852D76_36603SenegalSouth of SaharaLDCs10000Central Government10ODA110Standard grant1G01Administrative costs not included elsewhereADMINISTRATION AND OVERSIGHTAdministration and Oversight91010Administrative costs (non-sector allocable)Administrative Costs of DonorsSupports the following illustrative program-funded costs: salaries of US, FSN, and TCN and other staff such as PSCs, RSSAs, PASAs, CASUs working for the US Government managing, administering, and supporting programs and their program-funded benefits such as housing, travel, transportation, education allowances etc; institutional contractors that provide such staff, rent, IT services, the program-funded share of utilities, staff training costs and the cost of developing and administering training programs, equipment and supplies, ICASS, vehicle fuel and maintenance, maintenance contracts, janitorial services, operational unit web page development and maintenance, outreach such as publications and the cost of their preparation (including staff costs), and technical assistance to ensure USG compliance with regulations.NaN0.00.00.00.00.0NaNNaNNaN0.00.00.0NaN1.27594Constant Prices (2017 USD millions)NaNNaNNaN11.27594
38110302269910101110000D115G012017United StatesAgency for International Development2017014987C76_36606SenegalSouth of SaharaLDCs10000Central Government10ODA110Standard grant1G01Administrative costs not included elsewhereADMINISTRATION AND OVERSIGHTAdministration and Oversight91010Administrative costs (non-sector allocable)Administrative Costs of DonorsSupports the following illustrative program-funded costs: salaries of US, FSN, and TCN and other staff such as PSCs, RSSAs, PASAs, CASUs working for the US Government managing, administering, and supporting programs and their program-funded benefits such as housing, travel, transportation, education allowances etc; institutional contractors that provide such staff, rent, IT services, the program-funded share of utilities, staff training costs and the cost of developing and administering training programs, equipment and supplies, ICASS, vehicle fuel and maintenance, maintenance contracts, janitorial services, operational unit web page development and maintenance, outreach such as publications and the cost of their preparation (including staff costs), and technical assistance to ensure USG compliance with regulations.NaN0.00.00.00.00.0NaNNaNNaN0.00.00.0NaN0.27151Constant Prices (2017 USD millions)NaNNaNNaN10.27151
38111302269910101110000D115G012017United StatesAgency for International Development2017024615B76_55025SenegalSouth of SaharaLDCs10000Central Government10ODA110Standard grant1G01Administrative costs not included elsewhereADMINISTRATION AND OVERSIGHTAdministration and Oversight91010Administrative costs (non-sector allocable)Administrative Costs of DonorsSupports the following illustrative program-funded costs: salaries of US, FSN, and TCN and other staff such as PSCs, RSSAs, PASAs, CASUs working for the US Government managing, administering, and supporting programs and their program-funded benefits such as housing, travel, transportation, education allowances etc; institutional contractors that provide such staff, rent, IT services, the program-funded share of utilities, staff training costs and the cost of developing and administering training programs, equipment and supplies, ICASS, vehicle fuel and maintenance, maintenance contracts, janitorial services, operational unit web page development and maintenance, outreach such as publications and the cost of their preparation (including staff costs), and technical assistance to ensure USG compliance with regulations.NaN0.00.00.00.00.0NaNNaNNaN0.00.00.0NaN0.01992Constant Prices (2017 USD millions)NaNNaNNaN10.01992
38112302269910101110000D115G012017United StatesAgency for International Development2017014987D76_36606SenegalSouth of SaharaLDCs10000Central Government10ODA110Standard grant1G01Administrative costs not included elsewhereADMINISTRATION AND OVERSIGHTAdministration and Oversight91010Administrative costs (non-sector allocable)Administrative Costs of DonorsSupports the following illustrative program-funded costs: salaries of US, FSN, and TCN and other staff such as PSCs, RSSAs, PASAs, CASUs working for the US Government managing, administering, and supporting programs and their program-funded benefits such as housing, travel, transportation, education allowances etc; institutional contractors that provide such staff, rent, IT services, the program-funded share of utilities, staff training costs and the cost of developing and administering training programs, equipment and supplies, ICASS, vehicle fuel and maintenance, maintenance contracts, janitorial services, operational unit web page development and maintenance, outreach such as publications and the cost of their preparation (including staff costs), and technical assistance to ensure USG compliance with regulations.NaN0.00.00.00.00.0NaNNaNNaN0.00.00.0NaN0.43046Constant Prices (2017 USD millions)NaNNaNNaN10.43046

Duplicate rows

Most frequent

DONORRECIPIENTSECTORFLOWCHANNELAMOUNTTYPEFLOWTYPEAIDTYPEYEARDonor NameDonor AgencyOECD IDDonor Project IDRecipient NameRegionIncome GroupChannel of Delivery CodeChannel of Delivery NameCategory CodeCategory NameFinanceType CodeFinanceType NameBiMulti CodeType of Aid CodeType of Aid NameShort DescriptionProject titlePurpose CodePurpose NameSectorLong DescriptionGender equalityEnvironmentPDGGTrade DevelopmentRMNCHBiodiversityClimate MitigationClimate AdaptationDesertificationAmountAmount TypeAmount Tied USD millionAmount Untied USD millionAmount Partially Untied USD millionNature of SubmissionValuecount
0301259111101110000D115B042017CanadaGlobal Affairs Canada2.0172E+13P001664001MozambiqueSouth of SaharaLDCs10000Recipient Government10ODA110Standard grant1B04Basket funds/pooled fundingADVANCING QUALITY EDUCATION AND SCHOOL-RELATED SEXUAL AND REPRODUCTIVE HEALTH AND RIGHTS/STIMULER UNE +DUCATION DE QUALIT+ ET LA SANT+ ET LES DROITS SAdvancing Quality Education and School-Related Sexual and Reproductive Health and Rights/Stimuler une Tducation de qualitT et la santT et les droits sexuels et reproductifs en milieu scolai11110Education policy and administrative managementI.1.a. Education, Level UnspecifiedThis project contributes to the Ministerial commitment of contributing $650M over three years in support of SRHR initiatives and fully supports the Ministerial priority of empowering women and girls by advancing the empowerment of over 3 million girls through support for quality primary and secondary education, eliminating the gender gap through the education sector common fund and providing information on SRH to adolescent girls. Targeted technical assistance and capacity building will focus on the implementation of the CEFM and GE Strategies of the Ministry of Education, including measures to combat SGBV. It also contributes to the Africa target./1.01.01.00.00.00.00.00.00.00.982205Constant Prices (2017 USD millions)0.00.98220.010.9822052
1301259111101140000D115B042017CanadaGlobal Affairs Canada2.0172E+13P001664002MozambiqueSouth of SaharaLDCs40000United Nations ChildrenÆs Fund10ODA110Standard grant1B04Basket funds/pooled fundingSCHOOL-RELATED SEXUAL AND REPRODUCTIVE HEALTH AND RIGHTS/SANT+ ET DROITS SEXUELS ET REPRODUCTIFS LI+S AU MILIEU SCOLAIRESchool-related sexual and reproductive health and rights/SantT et droits sexuels et reproductifs liTs au milieu scolaire11110Education policy and administrative managementI.1.a. Education, Level UnspecifiedThis project contributes to the Ministerial commitment of contributing $650M over three years in support of SRHR initiatives and fully supports the Ministerial priority of empowering women and girls by advancing the empowerment of over 3 million girls through support for quality primary and secondary education, eliminating the gender gap through the education sector common fund and providing information on SRH to adolescent girls. Targeted technical assistance and capacity building will focus on the implementation of the CEFM and GE Strategies of the Ministry of Education, including measures to combat SGBV. It also contributes to the Africa target./a venir1.01.01.00.00.00.00.00.00.00.173330Constant Prices (2017 USD millions)0.00.17330.010.1733302